Integrations
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Prebuilt Telegraf plugins for easy integration
Effortlessly integrate your favorite systems across the spectrum of IT offerings, from applications to services, databases to containers.
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AMQP and Mimir
This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
NSQ and Mimir
This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
Azure Monitor and Mimir
The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
NATS and Mimir
This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
SNMP and Mimir
The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
OPC UA and Mimir
This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
LDAP and Mimir
The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
Jenkins and Mimir
This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
Zipkin and Mimir
The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
Apache and Mimir
This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
gNMI and Mimir
The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
Amazon CloudWatch and Mimir
The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
Google Cloud Stackdriver and Mimir
The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
StatsD and Mimir
The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
ActiveMQ and Mimir
This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
HAProxy and Mimir
The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
Consul and Mimir
The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
Modbus and Mimir
The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
Tail and Mimir
The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
Amazon ECS and Mimir
This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
Syslog and Mimir
Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
AWS Data Firehose and Mimir
AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
Salesforce and Mimir
Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
HTTP and Mimir
The HTTP plugin collects metrics from one or more HTTP(S) endpoints.
It supports various authentication methods and configuration options for data formats.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
Nginx and Mimir
The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
OpenStack and Mimir
The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
Azure Event Hubs and Mimir
A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
OpenTelemetry and Mimir
The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
Google Cloud Storage and Mimir
Collects metrics from Google Cloud Storage buckets for performance monitoring.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
Kinesis and Mimir
The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
RabbitMQ and Mimir
The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
Kubernetes and Mimir
The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
Docker and Mimir
Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
Fluentd and Mimir
Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
MQTT and Mimir
The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
Suricata and Mimir
The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
SNMP Trap and Mimir
The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
Hashicorp Nomad and Mimir
The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
Webhooks and Mimir
This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
Supervisor and Mimir
The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
Google Cloud PubSub and Mimir
A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
Kafka and Mimir
This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
Stream metrics from Telegraf into Grafana Mimir over HTTP using Prometheus' protobuf standard. Ideal for scalable monitoring infrastructures requiring high availability and performance.
AMQP and Loki
This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
NSQ and Loki
This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
Azure Monitor and Loki
The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
NATS and Loki
This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
SNMP and Loki
The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
OPC UA and Loki
This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
LDAP and Loki
The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
Jenkins and Loki
This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
Zipkin and Loki
The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
Apache and Loki
This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
gNMI and Loki
The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
Amazon CloudWatch and Loki
The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
Google Cloud Stackdriver and Loki
The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
StatsD and Loki
The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
ActiveMQ and Loki
This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
HAProxy and Loki
The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
Consul and Loki
The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
Modbus and Loki
The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
Tail and Loki
The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
Amazon ECS and Loki
This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
Syslog and Loki
Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
AWS Data Firehose and Loki
AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
Salesforce and Loki
Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
HTTP and Loki
The HTTP plugin collects metrics from one or more HTTP(S) endpoints.
It supports various authentication methods and configuration options for data formats.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
Nginx and Loki
The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
OpenStack and Loki
The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
Azure Event Hubs and Loki
A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
OpenTelemetry and Loki
The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
Google Cloud Storage and Loki
Collects metrics from Google Cloud Storage buckets for performance monitoring.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
Kinesis and Loki
The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
RabbitMQ and Loki
The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
Kubernetes and Loki
The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
Docker and Loki
Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
Fluentd and Loki
Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
MQTT and Loki
The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
Suricata and Loki
The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
SNMP Trap and Loki
The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
Hashicorp Nomad and Loki
The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
Webhooks and Loki
This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
Supervisor and Loki
The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
Google Cloud PubSub and Loki
A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
Kafka and Loki
This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
Send logs to Loki using a structured key-value format for efficient querying. Supports various configurations for authentication and transmission optimizations.
AMQP and Datadog
This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
NSQ and Datadog
This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
Azure Monitor and Datadog
The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
NATS and Datadog
This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
SNMP and Datadog
The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
OPC UA and Datadog
This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
LDAP and Datadog
The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
Jenkins and Datadog
This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
Zipkin and Datadog
The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
Apache and Datadog
This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
gNMI and Datadog
The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
Amazon CloudWatch and Datadog
The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
Google Cloud Stackdriver and Datadog
The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
StatsD and Datadog
The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
ActiveMQ and Datadog
This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
HAProxy and Datadog
The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
Consul and Datadog
The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
Modbus and Datadog
The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
Tail and Datadog
The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
Amazon ECS and Datadog
This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
Syslog and Datadog
Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
AWS Data Firehose and Datadog
AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
Salesforce and Datadog
Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
HTTP and Datadog
The HTTP plugin collects metrics from one or more HTTP(S) endpoints.
It supports various authentication methods and configuration options for data formats.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
Nginx and Datadog
The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
OpenStack and Datadog
The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
Azure Event Hubs and Datadog
A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
OpenTelemetry and Datadog
The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
Google Cloud Storage and Datadog
Collects metrics from Google Cloud Storage buckets for performance monitoring.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
Kinesis and Datadog
The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
RabbitMQ and Datadog
The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
Kubernetes and Datadog
The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
Docker and Datadog
Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
Fluentd and Datadog
Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
MQTT and Datadog
The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
Suricata and Datadog
The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
SNMP Trap and Datadog
The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
Hashicorp Nomad and Datadog
The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
Webhooks and Datadog
This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
Supervisor and Datadog
The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
Google Cloud PubSub and Datadog
A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
Kafka and Datadog
This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The Datadog plugin allows for writing metrics to the Datadog Metrics API, requiring an API key for functionality. It makes integrating Telegraf with Datadog easy, allowing for enhanced observability and performance monitoring.
AMQP and OpenSearch
This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
NSQ and OpenSearch
This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
Azure Monitor and OpenSearch
The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
NATS and OpenSearch
This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
SNMP and OpenSearch
The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
OPC UA and OpenSearch
This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
LDAP and OpenSearch
The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
Jenkins and OpenSearch
This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
Zipkin and OpenSearch
The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
Apache and OpenSearch
This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
gNMI and OpenSearch
The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
Amazon CloudWatch and OpenSearch
The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
Google Cloud Stackdriver and OpenSearch
The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
StatsD and OpenSearch
The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
ActiveMQ and OpenSearch
This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
HAProxy and OpenSearch
The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
Consul and OpenSearch
The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
Modbus and OpenSearch
The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
Tail and OpenSearch
The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
Amazon ECS and OpenSearch
This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
Syslog and OpenSearch
Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
AWS Data Firehose and OpenSearch
AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
Salesforce and OpenSearch
Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
HTTP and OpenSearch
The HTTP plugin collects metrics from one or more HTTP(S) endpoints.
It supports various authentication methods and configuration options for data formats.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
Nginx and OpenSearch
The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
OpenStack and OpenSearch
The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
Azure Event Hubs and OpenSearch
A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
OpenTelemetry and OpenSearch
The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
Google Cloud Storage and OpenSearch
Collects metrics from Google Cloud Storage buckets for performance monitoring.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
Kinesis and OpenSearch
The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
RabbitMQ and OpenSearch
The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
Kubernetes and OpenSearch
The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
Docker and OpenSearch
Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
Fluentd and OpenSearch
Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
MQTT and OpenSearch
The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
Suricata and OpenSearch
The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
SNMP Trap and OpenSearch
The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
Hashicorp Nomad and OpenSearch
The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
Webhooks and OpenSearch
This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
Supervisor and OpenSearch
The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
Google Cloud PubSub and OpenSearch
A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
Kafka and OpenSearch
This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
This plugin writes metrics to OpenSearch via HTTP, supporting versions 1.x and 2.x. It provides robust features for index management, template creation, and flexible configuration options.
AMQP and Graylog
This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
NSQ and Graylog
This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
Azure Monitor and Graylog
The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
NATS and Graylog
This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
SNMP and Graylog
The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
OPC UA and Graylog
This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
LDAP and Graylog
The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
Jenkins and Graylog
This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
Zipkin and Graylog
The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
Apache and Graylog
This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
gNMI and Graylog
The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
Amazon CloudWatch and Graylog
The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
Google Cloud Stackdriver and Graylog
The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
StatsD and Graylog
The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
ActiveMQ and Graylog
This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
HAProxy and Graylog
The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
Consul and Graylog
The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
Modbus and Graylog
The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
Tail and Graylog
The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
Amazon ECS and Graylog
This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
Syslog and Graylog
Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
AWS Data Firehose and Graylog
AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
Salesforce and Graylog
Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
HTTP and Graylog
The HTTP plugin collects metrics from one or more HTTP(S) endpoints.
It supports various authentication methods and configuration options for data formats.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
Nginx and Graylog
The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
OpenStack and Graylog
The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
Azure Event Hubs and Graylog
A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
OpenTelemetry and Graylog
The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
Google Cloud Storage and Graylog
Collects metrics from Google Cloud Storage buckets for performance monitoring.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
Kinesis and Graylog
The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
RabbitMQ and Graylog
The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
Kubernetes and Graylog
The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
Docker and Graylog
Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
Fluentd and Graylog
Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
MQTT and Graylog
The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
Suricata and Graylog
The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
SNMP Trap and Graylog
The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
Hashicorp Nomad and Graylog
The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
Webhooks and Graylog
This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
Supervisor and Graylog
The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
Google Cloud PubSub and Graylog
A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
Kafka and Graylog
This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
Send Telegraf metrics to a Graylog instance utilizing the GELF format. The plugin enables seamless interaction with logging data, adhering to specific GELF payload requirements.
AMQP and TimescaleDB
This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
NSQ and TimescaleDB
This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
Azure Monitor and TimescaleDB
The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
NATS and TimescaleDB
This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
SNMP and TimescaleDB
The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
OPC UA and TimescaleDB
This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
LDAP and TimescaleDB
The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
Jenkins and TimescaleDB
This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
Zipkin and TimescaleDB
The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
Apache and TimescaleDB
This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
gNMI and TimescaleDB
The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
Amazon CloudWatch and TimescaleDB
The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
Google Cloud Stackdriver and TimescaleDB
The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
StatsD and TimescaleDB
The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
ActiveMQ and TimescaleDB
This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
HAProxy and TimescaleDB
The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
Consul and TimescaleDB
The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
Modbus and TimescaleDB
The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
Tail and TimescaleDB
The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
Amazon ECS and TimescaleDB
This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
Syslog and TimescaleDB
Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
AWS Data Firehose and TimescaleDB
AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
Salesforce and TimescaleDB
Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
HTTP and TimescaleDB
The HTTP plugin collects metrics from one or more HTTP(S) endpoints.
It supports various authentication methods and configuration options for data formats.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
Nginx and TimescaleDB
The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
OpenStack and TimescaleDB
The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
Azure Event Hubs and TimescaleDB
A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
OpenTelemetry and TimescaleDB
The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
Google Cloud Storage and TimescaleDB
Collects metrics from Google Cloud Storage buckets for performance monitoring.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
Kinesis and TimescaleDB
The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
RabbitMQ and TimescaleDB
The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
Kubernetes and TimescaleDB
The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
Docker and TimescaleDB
Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
Fluentd and TimescaleDB
Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
MQTT and TimescaleDB
The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
Suricata and TimescaleDB
The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
SNMP Trap and TimescaleDB
The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
Hashicorp Nomad and TimescaleDB
The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
Webhooks and TimescaleDB
This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
Supervisor and TimescaleDB
The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
Google Cloud PubSub and TimescaleDB
A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
Kafka and TimescaleDB
This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
This plugin routes time series data from Telegraf to TimescaleDB using the PostgreSQL output plugin. It offers robust performance and scalability for modern monitoring applications.
AMQP and OpenTSDB
This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
NSQ and OpenTSDB
This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
Azure Monitor and OpenTSDB
The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
NATS and OpenTSDB
This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
SNMP and OpenTSDB
The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
OPC UA and OpenTSDB
This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
LDAP and OpenTSDB
The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
Jenkins and OpenTSDB
This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
Zipkin and OpenTSDB
The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
Apache and OpenTSDB
This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
gNMI and OpenTSDB
The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
Amazon CloudWatch and OpenTSDB
The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
Google Cloud Stackdriver and OpenTSDB
The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
StatsD and OpenTSDB
The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
ActiveMQ and OpenTSDB
This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
HAProxy and OpenTSDB
The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
Consul and OpenTSDB
The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
Modbus and OpenTSDB
The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
Tail and OpenTSDB
The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
Amazon ECS and OpenTSDB
This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
Syslog and OpenTSDB
Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
AWS Data Firehose and OpenTSDB
AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
Salesforce and OpenTSDB
Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
HTTP and OpenTSDB
The HTTP plugin collects metrics from one or more HTTP(S) endpoints.
It supports various authentication methods and configuration options for data formats.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
Nginx and OpenTSDB
The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
OpenStack and OpenTSDB
The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
Azure Event Hubs and OpenTSDB
A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
OpenTelemetry and OpenTSDB
The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
Google Cloud Storage and OpenTSDB
Collects metrics from Google Cloud Storage buckets for performance monitoring.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
Kinesis and OpenTSDB
The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
RabbitMQ and OpenTSDB
The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
Kubernetes and OpenTSDB
The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
Docker and OpenTSDB
Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
Fluentd and OpenTSDB
Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
MQTT and OpenTSDB
The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
Suricata and OpenTSDB
The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
SNMP Trap and OpenTSDB
The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
Hashicorp Nomad and OpenTSDB
The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
Webhooks and OpenTSDB
This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
Supervisor and OpenTSDB
The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
Google Cloud PubSub and OpenTSDB
A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
Kafka and OpenTSDB
This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The OpenTSDB Telegraf plugin enables writing metrics to an OpenTSDB instance using telnet or HTTP modes. Users can easily configure the server details and metrics handling options to optimize data ingestion.
AMQP and Graphite
This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
NSQ and Graphite
This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
Azure Monitor and Graphite
The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
NATS and Graphite
This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
SNMP and Graphite
The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
OPC UA and Graphite
This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
LDAP and Graphite
The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
Jenkins and Graphite
This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
Zipkin and Graphite
The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
Apache and Graphite
This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
gNMI and Graphite
The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
Amazon CloudWatch and Graphite
The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
Google Cloud Stackdriver and Graphite
The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
StatsD and Graphite
The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
ActiveMQ and Graphite
This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
HAProxy and Graphite
The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
Consul and Graphite
The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
Modbus and Graphite
The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
Tail and Graphite
The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
Amazon ECS and Graphite
This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
Syslog and Graphite
Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
AWS Data Firehose and Graphite
AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
Salesforce and Graphite
Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
HTTP and Graphite
The HTTP plugin collects metrics from one or more HTTP(S) endpoints.
It supports various authentication methods and configuration options for data formats.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
Nginx and Graphite
The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
OpenStack and Graphite
The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
Azure Event Hubs and Graphite
A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
OpenTelemetry and Graphite
The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
Google Cloud Storage and Graphite
Collects metrics from Google Cloud Storage buckets for performance monitoring.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
Kinesis and Graphite
The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
RabbitMQ and Graphite
The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
Kubernetes and Graphite
The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
Docker and Graphite
Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
Fluentd and Graphite
Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
MQTT and Graphite
The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
Suricata and Graphite
The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
SNMP Trap and Graphite
The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
Hashicorp Nomad and Graphite
The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
Webhooks and Graphite
This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
Supervisor and Graphite
The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
Google Cloud PubSub and Graphite
A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
Kafka and Graphite
This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The Graphite plugin allows Telegraf users to send collected metrics to Graphite using TCP, providing a robust solution for time series data visualization. With customizable configurations, users can tailor their data output to fit their specific needs and standards.
AMQP and Azure Data Explorer
This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
NSQ and Azure Data Explorer
This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
Azure Monitor and Azure Data Explorer
The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
NATS and Azure Data Explorer
This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
SNMP and Azure Data Explorer
The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
OPC UA and Azure Data Explorer
This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
LDAP and Azure Data Explorer
The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
Jenkins and Azure Data Explorer
This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
Zipkin and Azure Data Explorer
The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
Apache and Azure Data Explorer
This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
gNMI and Azure Data Explorer
The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
Amazon CloudWatch and Azure Data Explorer
The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
Google Cloud Stackdriver and Azure Data Explorer
The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
StatsD and Azure Data Explorer
The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
ActiveMQ and Azure Data Explorer
This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
HAProxy and Azure Data Explorer
The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
Consul and Azure Data Explorer
The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
Modbus and Azure Data Explorer
The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
Tail and Azure Data Explorer
The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
Amazon ECS and Azure Data Explorer
This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
Syslog and Azure Data Explorer
Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
AWS Data Firehose and Azure Data Explorer
AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
Salesforce and Azure Data Explorer
Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
HTTP and Azure Data Explorer
The HTTP plugin collects metrics from one or more HTTP(S) endpoints.
It supports various authentication methods and configuration options for data formats.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
Nginx and Azure Data Explorer
The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
OpenStack and Azure Data Explorer
The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
Azure Event Hubs and Azure Data Explorer
A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
OpenTelemetry and Azure Data Explorer
The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
Google Cloud Storage and Azure Data Explorer
Collects metrics from Google Cloud Storage buckets for performance monitoring.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
Kinesis and Azure Data Explorer
The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
RabbitMQ and Azure Data Explorer
The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
Kubernetes and Azure Data Explorer
The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
Docker and Azure Data Explorer
Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
Fluentd and Azure Data Explorer
Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
MQTT and Azure Data Explorer
The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
Suricata and Azure Data Explorer
The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
SNMP Trap and Azure Data Explorer
The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
Hashicorp Nomad and Azure Data Explorer
The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
Webhooks and Azure Data Explorer
This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
Supervisor and Azure Data Explorer
The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
Google Cloud PubSub and Azure Data Explorer
A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
Kafka and Azure Data Explorer
This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
This plugin writes data collected by Telegraf input plugins to Azure Data Explorer, facilitating real-time analytics. It allows for flexible metrics grouping and ingestion methods tailored to specific needs.
AMQP and MySQL
This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
NSQ and MySQL
This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
Azure Monitor and MySQL
The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
NATS and MySQL
This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
SNMP and MySQL
The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
OPC UA and MySQL
This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
LDAP and MySQL
The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
Jenkins and MySQL
This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
Zipkin and MySQL
The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
Apache and MySQL
This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
gNMI and MySQL
The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
Amazon CloudWatch and MySQL
The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
Google Cloud Stackdriver and MySQL
The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
StatsD and MySQL
The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
ActiveMQ and MySQL
This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
HAProxy and MySQL
The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
Consul and MySQL
The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
Modbus and MySQL
The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
Tail and MySQL
The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
Amazon ECS and MySQL
This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
Syslog and MySQL
Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
AWS Data Firehose and MySQL
AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
Salesforce and MySQL
Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
HTTP and MySQL
The HTTP plugin collects metrics from one or more HTTP(S) endpoints.
It supports various authentication methods and configuration options for data formats.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
Nginx and MySQL
The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
OpenStack and MySQL
The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
Azure Event Hubs and MySQL
A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
OpenTelemetry and MySQL
The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
Google Cloud Storage and MySQL
Collects metrics from Google Cloud Storage buckets for performance monitoring.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
Kinesis and MySQL
The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
RabbitMQ and MySQL
The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
Kubernetes and MySQL
The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
Docker and MySQL
Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
Fluentd and MySQL
Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
MQTT and MySQL
The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
Suricata and MySQL
The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
SNMP Trap and MySQL
The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
Hashicorp Nomad and MySQL
The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
Webhooks and MySQL
This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
Supervisor and MySQL
The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
Google Cloud PubSub and MySQL
A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
Kafka and MySQL
This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
This plugin enables saving metrics into a MySQL database, with options to customize table schemas and the type conversion process. A robust solution for users wanting to leverage SQL databases for metric storage.
AMQP and InfluxDB
This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
NSQ and InfluxDB
This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
Azure Monitor and InfluxDB
The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
NATS and InfluxDB
This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
SNMP and InfluxDB
The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
OPC UA and InfluxDB
This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
LDAP and InfluxDB
The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
Jenkins and InfluxDB
This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
Zipkin and InfluxDB
The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
Apache and InfluxDB
This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
gNMI and InfluxDB
The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
Amazon CloudWatch and InfluxDB
The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
Google Cloud Stackdriver and InfluxDB
The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
StatsD and InfluxDB
The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
ActiveMQ and InfluxDB
This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
HAProxy and InfluxDB
The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
Consul and InfluxDB
The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
Modbus and InfluxDB
The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
Tail and InfluxDB
The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
Amazon ECS and InfluxDB
This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
Syslog and InfluxDB
Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
AWS Data Firehose and InfluxDB
AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
Salesforce and InfluxDB
Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
HTTP and InfluxDB
The HTTP plugin collects metrics from one or more HTTP(S) endpoints.
It supports various authentication methods and configuration options for data formats.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
Nginx and InfluxDB
The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
OpenStack and InfluxDB
The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
Azure Event Hubs and InfluxDB
A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
OpenTelemetry and InfluxDB
The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
Google Cloud Storage and InfluxDB
Collects metrics from Google Cloud Storage buckets for performance monitoring.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
Kinesis and InfluxDB
The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
RabbitMQ and InfluxDB
The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
Kubernetes and InfluxDB
The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
Docker and InfluxDB
Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
Fluentd and InfluxDB
Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
MQTT and InfluxDB
The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
Suricata and InfluxDB
The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
SNMP Trap and InfluxDB
The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
Hashicorp Nomad and InfluxDB
The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
Webhooks and InfluxDB
This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
Supervisor and InfluxDB
The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
Google Cloud PubSub and InfluxDB
A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
Kafka and InfluxDB
This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The InfluxDB plugin writes metrics to the InfluxDB via HTTP, supporting various configuration options for tailored data ingestion. With features like token authentication and multi-node support, it ensures secure and scalable connections to your InfluxDB instances.
AMQP and Snowflake
This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
NSQ and Snowflake
This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
Azure Monitor and Snowflake
The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
NATS and Snowflake
This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
SNMP and Snowflake
The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
OPC UA and Snowflake
This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
LDAP and Snowflake
The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
Jenkins and Snowflake
This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
Zipkin and Snowflake
The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
Apache and Snowflake
This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
gNMI and Snowflake
The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
Amazon CloudWatch and Snowflake
The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
Google Cloud Stackdriver and Snowflake
The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
StatsD and Snowflake
The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
ActiveMQ and Snowflake
This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
HAProxy and Snowflake
The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
Consul and Snowflake
The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
Modbus and Snowflake
The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
Tail and Snowflake
The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
Amazon ECS and Snowflake
This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
Syslog and Snowflake
Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
AWS Data Firehose and Snowflake
AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
Salesforce and Snowflake
Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
HTTP and Snowflake
The HTTP plugin collects metrics from one or more HTTP(S) endpoints.
It supports various authentication methods and configuration options for data formats.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
Nginx and Snowflake
The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
OpenStack and Snowflake
The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
Azure Event Hubs and Snowflake
A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
OpenTelemetry and Snowflake
The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
Google Cloud Storage and Snowflake
Collects metrics from Google Cloud Storage buckets for performance monitoring.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
Kinesis and Snowflake
The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
RabbitMQ and Snowflake
The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
Kubernetes and Snowflake
The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
Docker and Snowflake
Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
Fluentd and Snowflake
Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
MQTT and Snowflake
The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
Suricata and Snowflake
The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
SNMP Trap and Snowflake
The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
Hashicorp Nomad and Snowflake
The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
Webhooks and Snowflake
This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
Supervisor and Snowflake
The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
Google Cloud PubSub and Snowflake
A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
Kafka and Snowflake
This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The SQL output plugin writes Telegraf metrics into SQL databases using dynamic table and column creation. For Snowflake, it supports a custom DSN format.
AMQP and Google BigQuery
This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
NSQ and Google BigQuery
This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
Azure Monitor and Google BigQuery
The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
NATS and Google BigQuery
This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
SNMP and Google BigQuery
The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
OPC UA and Google BigQuery
This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
LDAP and Google BigQuery
The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
Jenkins and Google BigQuery
This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
Zipkin and Google BigQuery
The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
Apache and Google BigQuery
This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
gNMI and Google BigQuery
The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
Amazon CloudWatch and Google BigQuery
The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
Google Cloud Stackdriver and Google BigQuery
The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
StatsD and Google BigQuery
The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
ActiveMQ and Google BigQuery
This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
HAProxy and Google BigQuery
The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
Consul and Google BigQuery
The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
Modbus and Google BigQuery
The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
Tail and Google BigQuery
The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
Amazon ECS and Google BigQuery
This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
Syslog and Google BigQuery
Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
AWS Data Firehose and Google BigQuery
AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
Salesforce and Google BigQuery
Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
HTTP and Google BigQuery
The HTTP plugin collects metrics from one or more HTTP(S) endpoints.
It supports various authentication methods and configuration options for data formats.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
Nginx and Google BigQuery
The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
OpenStack and Google BigQuery
The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
Azure Event Hubs and Google BigQuery
A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
OpenTelemetry and Google BigQuery
The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
Google Cloud Storage and Google BigQuery
Collects metrics from Google Cloud Storage buckets for performance monitoring.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
Kinesis and Google BigQuery
The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
RabbitMQ and Google BigQuery
The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
Kubernetes and Google BigQuery
The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
Docker and Google BigQuery
Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
Fluentd and Google BigQuery
Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
MQTT and Google BigQuery
The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
Suricata and Google BigQuery
The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
SNMP Trap and Google BigQuery
The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
Hashicorp Nomad and Google BigQuery
The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
Webhooks and Google BigQuery
This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
Supervisor and Google BigQuery
The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
Google Cloud PubSub and Google BigQuery
A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
Kafka and Google BigQuery
This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
This plugin sends metrics collected by Telegraf to Google Cloud BigQuery, allowing for detailed analysis and reporting. It requires authentication and supports various configuration options to customize metric handling.
AMQP and Redis
This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
NSQ and Redis
This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
Azure Monitor and Redis
The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
NATS and Redis
This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
SNMP and Redis
The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
OPC UA and Redis
This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
LDAP and Redis
The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
Jenkins and Redis
This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
Zipkin and Redis
The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
Apache and Redis
This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
gNMI and Redis
The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
Amazon CloudWatch and Redis
The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
Google Cloud Stackdriver and Redis
The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
StatsD and Redis
The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
ActiveMQ and Redis
This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
HAProxy and Redis
The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
Consul and Redis
The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
Modbus and Redis
The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
Tail and Redis
The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
Amazon ECS and Redis
This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
Syslog and Redis
Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
AWS Data Firehose and Redis
AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
Salesforce and Redis
Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
HTTP and Redis
The HTTP plugin collects metrics from one or more HTTP(S) endpoints.
It supports various authentication methods and configuration options for data formats.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
Nginx and Redis
The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
OpenStack and Redis
The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
Azure Event Hubs and Redis
A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
OpenTelemetry and Redis
The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
Google Cloud Storage and Redis
Collects metrics from Google Cloud Storage buckets for performance monitoring.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
Kinesis and Redis
The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
RabbitMQ and Redis
The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
Kubernetes and Redis
The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
Docker and Redis
Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
Fluentd and Redis
Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
MQTT and Redis
The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
Suricata and Redis
The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
SNMP Trap and Redis
The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
Hashicorp Nomad and Redis
The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
Webhooks and Redis
This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
Supervisor and Redis
The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
Google Cloud PubSub and Redis
A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
Kafka and Redis
This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
With the Redis plugin, users can easily publish metrics to Redis using Telegraf, ensuring efficient handling of time series data. This plugin's configuration options allow for customized connections and operational parameters for optimal performance.
AMQP and New Relic
This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
NSQ and New Relic
This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
Azure Monitor and New Relic
The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
NATS and New Relic
This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
SNMP and New Relic
The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
OPC UA and New Relic
This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
LDAP and New Relic
The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
Jenkins and New Relic
This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
Zipkin and New Relic
The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
Apache and New Relic
This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
gNMI and New Relic
The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
Amazon CloudWatch and New Relic
The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
Google Cloud Stackdriver and New Relic
The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
StatsD and New Relic
The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
ActiveMQ and New Relic
This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
HAProxy and New Relic
The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
Consul and New Relic
The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
Modbus and New Relic
The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
Tail and New Relic
The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
Amazon ECS and New Relic
This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
Syslog and New Relic
Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
AWS Data Firehose and New Relic
AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
Salesforce and New Relic
Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
HTTP and New Relic
The HTTP plugin collects metrics from one or more HTTP(S) endpoints.
It supports various authentication methods and configuration options for data formats.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
Nginx and New Relic
The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
OpenStack and New Relic
The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
Azure Event Hubs and New Relic
A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
OpenTelemetry and New Relic
The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
Google Cloud Storage and New Relic
Collects metrics from Google Cloud Storage buckets for performance monitoring.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
Kinesis and New Relic
The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
RabbitMQ and New Relic
The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
Kubernetes and New Relic
The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
Docker and New Relic
Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
Fluentd and New Relic
Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
MQTT and New Relic
The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
Suricata and New Relic
The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
SNMP Trap and New Relic
The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
Hashicorp Nomad and New Relic
The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
Webhooks and New Relic
This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
Supervisor and New Relic
The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
Google Cloud PubSub and New Relic
A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
Kafka and New Relic
This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The New Relic plugin sends metrics to New Relic Insights via the Metrics API, allowing users to leverage New Relic's monitoring capabilities. This plugin requires an Insights API Key for proper configuration and integration.
AMQP and Clickhouse
This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
NSQ and Clickhouse
This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
Azure Monitor and Clickhouse
The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
NATS and Clickhouse
This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
SNMP and Clickhouse
The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
OPC UA and Clickhouse
This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
LDAP and Clickhouse
The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
Jenkins and Clickhouse
This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
Zipkin and Clickhouse
The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
Apache and Clickhouse
This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
gNMI and Clickhouse
The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
Amazon CloudWatch and Clickhouse
The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
Google Cloud Stackdriver and Clickhouse
The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
StatsD and Clickhouse
The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
ActiveMQ and Clickhouse
This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
HAProxy and Clickhouse
The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
Consul and Clickhouse
The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
Modbus and Clickhouse
The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
Tail and Clickhouse
The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
Amazon ECS and Clickhouse
This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
Syslog and Clickhouse
Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
AWS Data Firehose and Clickhouse
AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
Salesforce and Clickhouse
Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
HTTP and Clickhouse
The HTTP plugin collects metrics from one or more HTTP(S) endpoints.
It supports various authentication methods and configuration options for data formats.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
Nginx and Clickhouse
The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
OpenStack and Clickhouse
The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
Azure Event Hubs and Clickhouse
A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
OpenTelemetry and Clickhouse
The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
Google Cloud Storage and Clickhouse
Collects metrics from Google Cloud Storage buckets for performance monitoring.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
Kinesis and Clickhouse
The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
RabbitMQ and Clickhouse
The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
Kubernetes and Clickhouse
The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
Docker and Clickhouse
Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
Fluentd and Clickhouse
Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
MQTT and Clickhouse
The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
Suricata and Clickhouse
The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
SNMP Trap and Clickhouse
The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
Hashicorp Nomad and Clickhouse
The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
Webhooks and Clickhouse
This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
Supervisor and Clickhouse
The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
Google Cloud PubSub and Clickhouse
A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
Kafka and Clickhouse
This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The SQL plugin enables Telegraf to write metrics into an SQL database using a simple table-per-metric approach. For ClickHouse, it provides specialized DSN support and precise type conversion to match native data types.
AMQP and Splunk
This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
NSQ and Splunk
This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
Azure Monitor and Splunk
The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
NATS and Splunk
This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
SNMP and Splunk
The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
OPC UA and Splunk
This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
LDAP and Splunk
The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
Jenkins and Splunk
This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
Zipkin and Splunk
The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
Apache and Splunk
This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
gNMI and Splunk
The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
Amazon CloudWatch and Splunk
The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
Google Cloud Stackdriver and Splunk
The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
StatsD and Splunk
The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
ActiveMQ and Splunk
This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
HAProxy and Splunk
The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
Consul and Splunk
The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
Modbus and Splunk
The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
Tail and Splunk
The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
Amazon ECS and Splunk
This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
Syslog and Splunk
Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
AWS Data Firehose and Splunk
AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
Salesforce and Splunk
Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
HTTP and Splunk
The HTTP plugin collects metrics from one or more HTTP(S) endpoints.
It supports various authentication methods and configuration options for data formats.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
Nginx and Splunk
The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
OpenStack and Splunk
The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
Azure Event Hubs and Splunk
A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
OpenTelemetry and Splunk
The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
Google Cloud Storage and Splunk
Collects metrics from Google Cloud Storage buckets for performance monitoring.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
Kinesis and Splunk
The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
RabbitMQ and Splunk
The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
Kubernetes and Splunk
The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
Docker and Splunk
Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
Fluentd and Splunk
Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
MQTT and Splunk
The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
Suricata and Splunk
The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
SNMP Trap and Splunk
The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
Hashicorp Nomad and Splunk
The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
Webhooks and Splunk
This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
Supervisor and Splunk
The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
Google Cloud PubSub and Splunk
A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
Kafka and Splunk
This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
Stream metrics directly to Splunk using the HTTP with the Splunk metrics serializer. Ideal for real-time analytics and monitoring workflows.
AMQP and Prometheus
This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
NSQ and Prometheus
This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
Azure Monitor and Prometheus
The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
NATS and Prometheus
This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
SNMP and Prometheus
The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
OPC UA and Prometheus
This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
LDAP and Prometheus
The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
Jenkins and Prometheus
This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
Zipkin and Prometheus
The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
Apache and Prometheus
This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
gNMI and Prometheus
The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
Amazon CloudWatch and Prometheus
The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
Google Cloud Stackdriver and Prometheus
The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
StatsD and Prometheus
The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
ActiveMQ and Prometheus
This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
HAProxy and Prometheus
The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
Consul and Prometheus
The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
Modbus and Prometheus
The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
Tail and Prometheus
The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
Amazon ECS and Prometheus
This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
Syslog and Prometheus
Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
AWS Data Firehose and Prometheus
AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
Salesforce and Prometheus
Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
HTTP and Prometheus
The HTTP plugin collects metrics from one or more HTTP(S) endpoints.
It supports various authentication methods and configuration options for data formats.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
Nginx and Prometheus
The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
OpenStack and Prometheus
The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
Azure Event Hubs and Prometheus
A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
OpenTelemetry and Prometheus
The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
Google Cloud Storage and Prometheus
Collects metrics from Google Cloud Storage buckets for performance monitoring.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
Kinesis and Prometheus
The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
RabbitMQ and Prometheus
The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
Kubernetes and Prometheus
The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
Docker and Prometheus
Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
Fluentd and Prometheus
Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
MQTT and Prometheus
The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
Suricata and Prometheus
The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
SNMP Trap and Prometheus
The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
Hashicorp Nomad and Prometheus
The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
Webhooks and Prometheus
This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
Supervisor and Prometheus
The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
Google Cloud PubSub and Prometheus
A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
Kafka and Prometheus
This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
This output plugin publishes metrics in a format suitable for Prometheus scraping. It supports various configurations for security, metrics control, and performance management.
AMQP and PostgreSQL
This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
NSQ and PostgreSQL
This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
Azure Monitor and PostgreSQL
The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
NATS and PostgreSQL
This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
SNMP and PostgreSQL
The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
OPC UA and PostgreSQL
This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
LDAP and PostgreSQL
The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
Jenkins and PostgreSQL
This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
Zipkin and PostgreSQL
The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
Apache and PostgreSQL
This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
gNMI and PostgreSQL
The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
Amazon CloudWatch and PostgreSQL
The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
Google Cloud Stackdriver and PostgreSQL
The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
StatsD and PostgreSQL
The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
ActiveMQ and PostgreSQL
This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
HAProxy and PostgreSQL
The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
Consul and PostgreSQL
The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
Modbus and PostgreSQL
The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
Tail and PostgreSQL
The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
Amazon ECS and PostgreSQL
This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
Syslog and PostgreSQL
Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
AWS Data Firehose and PostgreSQL
AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
Salesforce and PostgreSQL
Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
HTTP and PostgreSQL
The HTTP plugin collects metrics from one or more HTTP(S) endpoints.
It supports various authentication methods and configuration options for data formats.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
Nginx and PostgreSQL
The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
OpenStack and PostgreSQL
The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
Azure Event Hubs and PostgreSQL
A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
OpenTelemetry and PostgreSQL
The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
Google Cloud Storage and PostgreSQL
Collects metrics from Google Cloud Storage buckets for performance monitoring.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
Kinesis and PostgreSQL
The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
RabbitMQ and PostgreSQL
The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
Kubernetes and PostgreSQL
The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
Docker and PostgreSQL
Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
Fluentd and PostgreSQL
Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
MQTT and PostgreSQL
The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
Suricata and PostgreSQL
The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
SNMP Trap and PostgreSQL
The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
Hashicorp Nomad and PostgreSQL
The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
Webhooks and PostgreSQL
This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
Supervisor and PostgreSQL
The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
Google Cloud PubSub and PostgreSQL
A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
Kafka and PostgreSQL
This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The plugin writes metrics to a PostgreSQL database, managing the schema and automatically updating missing columns. It efficiently handles both standard and non-standard PostgreSQL features for advanced users.
AMQP and Sumo Logic
This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
NSQ and Sumo Logic
This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
Azure Monitor and Sumo Logic
The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
NATS and Sumo Logic
This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
SNMP and Sumo Logic
The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
OPC UA and Sumo Logic
This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
LDAP and Sumo Logic
The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
Jenkins and Sumo Logic
This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
Zipkin and Sumo Logic
The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
Apache and Sumo Logic
This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
gNMI and Sumo Logic
The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
Amazon CloudWatch and Sumo Logic
The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
Google Cloud Stackdriver and Sumo Logic
The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
StatsD and Sumo Logic
The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
ActiveMQ and Sumo Logic
This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
HAProxy and Sumo Logic
The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
Consul and Sumo Logic
The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
Modbus and Sumo Logic
The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
Tail and Sumo Logic
The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
Amazon ECS and Sumo Logic
This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
Syslog and Sumo Logic
Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
AWS Data Firehose and Sumo Logic
AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
Salesforce and Sumo Logic
Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
HTTP and Sumo Logic
The HTTP plugin collects metrics from one or more HTTP(S) endpoints.
It supports various authentication methods and configuration options for data formats.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
Nginx and Sumo Logic
The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
OpenStack and Sumo Logic
The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
Azure Event Hubs and Sumo Logic
A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
OpenTelemetry and Sumo Logic
The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
Google Cloud Storage and Sumo Logic
Collects metrics from Google Cloud Storage buckets for performance monitoring.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
Kinesis and Sumo Logic
The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
RabbitMQ and Sumo Logic
The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
Kubernetes and Sumo Logic
The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
Docker and Sumo Logic
Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
Fluentd and Sumo Logic
Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
MQTT and Sumo Logic
The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
Suricata and Sumo Logic
The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
SNMP Trap and Sumo Logic
The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
Hashicorp Nomad and Sumo Logic
The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
Webhooks and Sumo Logic
This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
Supervisor and Sumo Logic
The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
Google Cloud PubSub and Sumo Logic
A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
Kafka and Sumo Logic
This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
This plugin allows sending metrics to Sumo Logic using various supported data formats. Users can configure the output to optimize data collection and integration with Sumo Logic for real-time analytics and monitoring.
AMQP and Elasticsearch
This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
NSQ and Elasticsearch
This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
Azure Monitor and Elasticsearch
The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
NATS and Elasticsearch
This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
SNMP and Elasticsearch
The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
OPC UA and Elasticsearch
This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
LDAP and Elasticsearch
The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
Jenkins and Elasticsearch
This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
Zipkin and Elasticsearch
The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
Apache and Elasticsearch
This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
gNMI and Elasticsearch
The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
Amazon CloudWatch and Elasticsearch
The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
Google Cloud Stackdriver and Elasticsearch
The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
StatsD and Elasticsearch
The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
ActiveMQ and Elasticsearch
This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
HAProxy and Elasticsearch
The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
Consul and Elasticsearch
The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
Modbus and Elasticsearch
The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
Tail and Elasticsearch
The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
Amazon ECS and Elasticsearch
This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
Syslog and Elasticsearch
Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
AWS Data Firehose and Elasticsearch
AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
Salesforce and Elasticsearch
Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
HTTP and Elasticsearch
The HTTP plugin collects metrics from one or more HTTP(S) endpoints.
It supports various authentication methods and configuration options for data formats.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
Nginx and Elasticsearch
The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
OpenStack and Elasticsearch
The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
Azure Event Hubs and Elasticsearch
A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
OpenTelemetry and Elasticsearch
The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
Google Cloud Storage and Elasticsearch
Collects metrics from Google Cloud Storage buckets for performance monitoring.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
Kinesis and Elasticsearch
The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
RabbitMQ and Elasticsearch
The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
Kubernetes and Elasticsearch
The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
Docker and Elasticsearch
Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
Fluentd and Elasticsearch
Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
MQTT and Elasticsearch
The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
Suricata and Elasticsearch
The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
SNMP Trap and Elasticsearch
The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
Hashicorp Nomad and Elasticsearch
The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
Webhooks and Elasticsearch
This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
Supervisor and Elasticsearch
The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
Google Cloud PubSub and Elasticsearch
A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
Kafka and Elasticsearch
This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
This plugin allows Telegraf to send metrics to an Elasticsearch instance, managing index templates and dynamic indexes based on time. It supports various Elasticsearch versions from 5.x to 7.x and integrates well with OpenSearch.
AMQP and AWS Timestream
This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
NSQ and AWS Timestream
This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
Azure Monitor and AWS Timestream
The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
NATS and AWS Timestream
This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
SNMP and AWS Timestream
The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
OPC UA and AWS Timestream
This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
LDAP and AWS Timestream
The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
Jenkins and AWS Timestream
This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
Zipkin and AWS Timestream
The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
Apache and AWS Timestream
This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
gNMI and AWS Timestream
The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
Amazon CloudWatch and AWS Timestream
The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
Google Cloud Stackdriver and AWS Timestream
The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
StatsD and AWS Timestream
The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
ActiveMQ and AWS Timestream
This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
HAProxy and AWS Timestream
The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
Consul and AWS Timestream
The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
Modbus and AWS Timestream
The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
Tail and AWS Timestream
The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
Amazon ECS and AWS Timestream
This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
Syslog and AWS Timestream
Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
AWS Data Firehose and AWS Timestream
AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
Salesforce and AWS Timestream
Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
HTTP and AWS Timestream
The HTTP plugin collects metrics from one or more HTTP(S) endpoints.
It supports various authentication methods and configuration options for data formats.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
Nginx and AWS Timestream
The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
OpenStack and AWS Timestream
The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
Azure Event Hubs and AWS Timestream
A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
OpenTelemetry and AWS Timestream
The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
Google Cloud Storage and AWS Timestream
Collects metrics from Google Cloud Storage buckets for performance monitoring.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
Kinesis and AWS Timestream
The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
RabbitMQ and AWS Timestream
The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
Kubernetes and AWS Timestream
The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
Docker and AWS Timestream
Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
Fluentd and AWS Timestream
Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
MQTT and AWS Timestream
The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
Suricata and AWS Timestream
The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
SNMP Trap and AWS Timestream
The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
Hashicorp Nomad and AWS Timestream
The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
Webhooks and AWS Timestream
This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
Supervisor and AWS Timestream
The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
Google Cloud PubSub and AWS Timestream
A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
Kafka and AWS Timestream
This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The AWS Timestream output plugin sends metrics to Amazon's Timestream service for time series data management. It supports flexible configuration for authentication and data organization.
AMQP and Dynatrace
This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
NSQ and Dynatrace
This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
Azure Monitor and Dynatrace
The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
NATS and Dynatrace
This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
SNMP and Dynatrace
The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
OPC UA and Dynatrace
This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
LDAP and Dynatrace
The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
Jenkins and Dynatrace
This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
Zipkin and Dynatrace
The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
Apache and Dynatrace
This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
gNMI and Dynatrace
The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
Amazon CloudWatch and Dynatrace
The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
Google Cloud Stackdriver and Dynatrace
The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
StatsD and Dynatrace
The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
ActiveMQ and Dynatrace
This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
HAProxy and Dynatrace
The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
Consul and Dynatrace
The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
Modbus and Dynatrace
The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
Tail and Dynatrace
The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
Amazon ECS and Dynatrace
This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
Syslog and Dynatrace
Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
AWS Data Firehose and Dynatrace
AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
Salesforce and Dynatrace
Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
HTTP and Dynatrace
The HTTP plugin collects metrics from one or more HTTP(S) endpoints.
It supports various authentication methods and configuration options for data formats.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
Nginx and Dynatrace
The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
OpenStack and Dynatrace
The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
Azure Event Hubs and Dynatrace
A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
OpenTelemetry and Dynatrace
The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
Google Cloud Storage and Dynatrace
Collects metrics from Google Cloud Storage buckets for performance monitoring.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
Kinesis and Dynatrace
The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
RabbitMQ and Dynatrace
The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
Kubernetes and Dynatrace
The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
Docker and Dynatrace
Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
Fluentd and Dynatrace
Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
MQTT and Dynatrace
The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
Suricata and Dynatrace
The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
SNMP Trap and Dynatrace
The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
Hashicorp Nomad and Dynatrace
The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
Webhooks and Dynatrace
This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
Supervisor and Dynatrace
The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
Google Cloud PubSub and Dynatrace
A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
Kafka and Dynatrace
This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
Send metrics to Dynatrace via Telegraf using the Dynatrace Metrics API V2. The plugin can operate alongside the Dynatrace OneAgent or in standalone mode with direct configuration.
AMQP and IoTDB
This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
NSQ and IoTDB
This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
Azure Monitor and IoTDB
The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
NATS and IoTDB
This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
SNMP and IoTDB
The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
OPC UA and IoTDB
This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
LDAP and IoTDB
The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
Jenkins and IoTDB
This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
Zipkin and IoTDB
The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
Apache and IoTDB
This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
gNMI and IoTDB
The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
Amazon CloudWatch and IoTDB
The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
Google Cloud Stackdriver and IoTDB
The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
StatsD and IoTDB
The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
ActiveMQ and IoTDB
This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
HAProxy and IoTDB
The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
Consul and IoTDB
The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
Modbus and IoTDB
The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
Tail and IoTDB
The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
Amazon ECS and IoTDB
This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
Syslog and IoTDB
Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
AWS Data Firehose and IoTDB
AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
Salesforce and IoTDB
Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
HTTP and IoTDB
The HTTP plugin collects metrics from one or more HTTP(S) endpoints.
It supports various authentication methods and configuration options for data formats.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
Nginx and IoTDB
The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
OpenStack and IoTDB
The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
Azure Event Hubs and IoTDB
A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
OpenTelemetry and IoTDB
The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
Google Cloud Storage and IoTDB
Collects metrics from Google Cloud Storage buckets for performance monitoring.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
Kinesis and IoTDB
The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
RabbitMQ and IoTDB
The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
Kubernetes and IoTDB
The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
Docker and IoTDB
Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
Fluentd and IoTDB
Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
MQTT and IoTDB
The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
Suricata and IoTDB
The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
SNMP Trap and IoTDB
The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
Hashicorp Nomad and IoTDB
The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
Webhooks and IoTDB
This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
Supervisor and IoTDB
The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
Google Cloud PubSub and IoTDB
A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
Kafka and IoTDB
This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The IoTDB plugin allows users to store metrics from Telegraf into Apache IoTDB, while addressing specific data translation requirements and performance needs for IoT applications.
AMQP and Microsoft SQL Server
This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
NSQ and Microsoft SQL Server
This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
Azure Monitor and Microsoft SQL Server
The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
NATS and Microsoft SQL Server
This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
SNMP and Microsoft SQL Server
The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
OPC UA and Microsoft SQL Server
This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
LDAP and Microsoft SQL Server
The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
Jenkins and Microsoft SQL Server
This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
Zipkin and Microsoft SQL Server
The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
Apache and Microsoft SQL Server
This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
gNMI and Microsoft SQL Server
The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
Amazon CloudWatch and Microsoft SQL Server
The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
Google Cloud Stackdriver and Microsoft SQL Server
The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
StatsD and Microsoft SQL Server
The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
ActiveMQ and Microsoft SQL Server
This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
HAProxy and Microsoft SQL Server
The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
Consul and Microsoft SQL Server
The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
Modbus and Microsoft SQL Server
The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
Tail and Microsoft SQL Server
The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
Amazon ECS and Microsoft SQL Server
This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
Syslog and Microsoft SQL Server
Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
AWS Data Firehose and Microsoft SQL Server
AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
Salesforce and Microsoft SQL Server
Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
HTTP and Microsoft SQL Server
The HTTP plugin collects metrics from one or more HTTP(S) endpoints.
It supports various authentication methods and configuration options for data formats.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
Nginx and Microsoft SQL Server
The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
OpenStack and Microsoft SQL Server
The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
Azure Event Hubs and Microsoft SQL Server
A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
OpenTelemetry and Microsoft SQL Server
The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
Google Cloud Storage and Microsoft SQL Server
Collects metrics from Google Cloud Storage buckets for performance monitoring.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
Kinesis and Microsoft SQL Server
The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
RabbitMQ and Microsoft SQL Server
The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
Kubernetes and Microsoft SQL Server
The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
Docker and Microsoft SQL Server
Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
Fluentd and Microsoft SQL Server
Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
MQTT and Microsoft SQL Server
The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
Suricata and Microsoft SQL Server
The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
SNMP Trap and Microsoft SQL Server
The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
Hashicorp Nomad and Microsoft SQL Server
The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
Webhooks and Microsoft SQL Server
This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
Supervisor and Microsoft SQL Server
The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
Google Cloud PubSub and Microsoft SQL Server
A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
Kafka and Microsoft SQL Server
This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The SQL output plugin allows Telegraf to store metrics in an SQL database with automatic table creation. For Microsoft SQL Server, it leverages the go-mssqldb driver with a specialized DSN.
AMQP and SQLite
This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
NSQ and SQLite
This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
Azure Monitor and SQLite
The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
NATS and SQLite
This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
SNMP and SQLite
The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
OPC UA and SQLite
This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
LDAP and SQLite
The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
Jenkins and SQLite
This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
Zipkin and SQLite
The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
Apache and SQLite
This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
gNMI and SQLite
The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
Amazon CloudWatch and SQLite
The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
Google Cloud Stackdriver and SQLite
The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
StatsD and SQLite
The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
ActiveMQ and SQLite
This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
HAProxy and SQLite
The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
Consul and SQLite
The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
Modbus and SQLite
The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
Tail and SQLite
The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
Amazon ECS and SQLite
This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
Syslog and SQLite
Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
AWS Data Firehose and SQLite
AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
Salesforce and SQLite
Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
HTTP and SQLite
The HTTP plugin collects metrics from one or more HTTP(S) endpoints.
It supports various authentication methods and configuration options for data formats.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
Nginx and SQLite
The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
OpenStack and SQLite
The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
Azure Event Hubs and SQLite
A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
OpenTelemetry and SQLite
The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
Google Cloud Storage and SQLite
Collects metrics from Google Cloud Storage buckets for performance monitoring.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
Kinesis and SQLite
The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
RabbitMQ and SQLite
The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
Kubernetes and SQLite
The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
Docker and SQLite
Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
Fluentd and SQLite
Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
MQTT and SQLite
The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
Suricata and SQLite
The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
SNMP Trap and SQLite
The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
Hashicorp Nomad and SQLite
The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
Webhooks and SQLite
This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
Supervisor and SQLite
The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
Google Cloud PubSub and SQLite
A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
Kafka and SQLite
This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
The SQL output plugin allows Telegraf to save metrics in an SQL database using an automatic table-per-metric approach. For SQLite, it leverages a file-based DSN and standard SQL, making it ideal for lightweight local storage.
AMQP and VictoriaMetrics
This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
NSQ and VictoriaMetrics
This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
Azure Monitor and VictoriaMetrics
The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
NATS and VictoriaMetrics
This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
SNMP and VictoriaMetrics
The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
OPC UA and VictoriaMetrics
This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
LDAP and VictoriaMetrics
The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
Jenkins and VictoriaMetrics
This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
Zipkin and VictoriaMetrics
The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
Apache and VictoriaMetrics
This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
gNMI and VictoriaMetrics
The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
Amazon CloudWatch and VictoriaMetrics
The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
Google Cloud Stackdriver and VictoriaMetrics
The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
StatsD and VictoriaMetrics
The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
ActiveMQ and VictoriaMetrics
This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
HAProxy and VictoriaMetrics
The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
Consul and VictoriaMetrics
The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
Modbus and VictoriaMetrics
The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
Tail and VictoriaMetrics
The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
Amazon ECS and VictoriaMetrics
This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
Syslog and VictoriaMetrics
Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
AWS Data Firehose and VictoriaMetrics
AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
Salesforce and VictoriaMetrics
Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
HTTP and VictoriaMetrics
The HTTP plugin collects metrics from one or more HTTP(S) endpoints.
It supports various authentication methods and configuration options for data formats.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
Nginx and VictoriaMetrics
The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
OpenStack and VictoriaMetrics
The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
Azure Event Hubs and VictoriaMetrics
A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
OpenTelemetry and VictoriaMetrics
The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
Google Cloud Storage and VictoriaMetrics
Collects metrics from Google Cloud Storage buckets for performance monitoring.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
Kinesis and VictoriaMetrics
The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
RabbitMQ and VictoriaMetrics
The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
Kubernetes and VictoriaMetrics
The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
Docker and VictoriaMetrics
Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
Fluentd and VictoriaMetrics
Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
MQTT and VictoriaMetrics
The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
Suricata and VictoriaMetrics
The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
SNMP Trap and VictoriaMetrics
The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
Hashicorp Nomad and VictoriaMetrics
The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
Webhooks and VictoriaMetrics
This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
Supervisor and VictoriaMetrics
The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
Google Cloud PubSub and VictoriaMetrics
A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
Kafka and VictoriaMetrics
This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
Efficiently sends metrics from Telegraf to VictoriaMetrics using the InfluxDB output plugin. Ideal for scalable, high-performance monitoring and analytics.
AMQP and MongoDB
This plugin is designed for consuming metrics from AMQP 0-9-1, such as those provided by RabbitMQ. It efficiently reads data from queues and exchanges using configurable parameters, making it ideal for integrated monitoring setups.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
NSQ and MongoDB
This plugin facilitates the consumption of messages from NSQ, a real-time messaging platform. It ensures reliable data processing by managing undelivered messages and integrating various data formats.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
Azure Monitor and MongoDB
The Azure Monitor plugin collects metrics from Azure resources. It provides a way to access detailed performance insights via the Azure Monitor API.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
NATS and MongoDB
This plugin reads metrics from NATS subjects, allowing for parallel consumption across multiple instances of Telegraf. It supports various authentication methods and is designed to ensure message reliability and persistence.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
SNMP and MongoDB
The SNMP plugin gathers metrics using SNMP agents through configurable requests. It supports both OIDs and table data collection for comprehensive monitoring.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
OPC UA and MongoDB
This plugin gathers metrics from OPC UA servers, enabling comprehensive device monitoring. Users can configure various options for connecting to and retrieving data from multiple OPC UA nodes.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
LDAP and MongoDB
The LDAP plugin collects metrics from LDAP servers for performance monitoring. It supports multiple connection schemes and provides detailed server metrics for operational health assessment.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
Jenkins and MongoDB
This plugin gathers information about the nodes and jobs running in a Jenkins instance using the Jenkins API. It enables seamless integration and monitoring without requiring any additional Jenkins plugins.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
Zipkin and MongoDB
The Zipkin Input Plugin gathers trace and timing data required for troubleshooting latency in microservices. Leveraging spans and annotations, it improves observability and performance tracking in distributed systems.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
Apache and MongoDB
This plugin collects performance metrics from the Apache HTTP server using the mod_status module. It provides insights into server load, connections, and worker status.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
gNMI and MongoDB
The gNMI Input Plugin enables users to collect telemetry data from network devices in real-time. It is designed to work with any gNMI-compliant platform, including various Cisco devices.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
Amazon CloudWatch and MongoDB
The Amazon CloudWatch Statistics Input Plugin allows you to gather metric statistics from AWS CloudWatch. It supports flexible authentication and configuration options, making it suitable for various monitoring requirements.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
Google Cloud Stackdriver and MongoDB
The Stackdriver input plugin provides functionality to gather metrics from Google Cloud. It simplifies access to a wide range of monitoring data for better insight into cloud operations.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
StatsD and MongoDB
The StatsD input plugin collects metrics from a StatsD server to facilitate performance monitoring. By functioning as a background listener, it efficiently processes various stat types including gauges and counters.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
ActiveMQ and MongoDB
This plugin collects metrics from ActiveMQ using its Console API, including queue sizes and message counts. It enables real-time monitoring of ActiveMQ's performance and health.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
HAProxy and MongoDB
The HAProxy plugin collects metrics from HAProxy servers using either a stats socket or HTTP endpoints, enabling detailed monitoring of server status and performance analytics. This plugin allows for comprehensive visibility into HAProxy's operational metrics, helping administrators ensure optimal load balancing and application performance.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
Consul and MongoDB
The Consul Input Plugin reports health check statuses from services registered in Consul, enabling real-time operational monitoring. Users can configure connection details, authentication, and how to manage tags associated with health check metrics.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
Modbus and MongoDB
The Modbus plugin enables data collection from Modbus devices via TCP or RTU/ASCII. It supports various configurations for retrieving different types of data from slave devices.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
Tail and MongoDB
The Tail plugin monitors log files for new entries and parses log messages. It efficiently handles log rotation and provides various configuration options for optimal performance.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
Amazon ECS and MongoDB
This plugin collects metrics about containers running on AWS ECS, allowing for detailed monitoring and performance analysis. It integrates tightly with AWS services to retrieve metadata and statistics directly from the ECS API.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
Syslog and MongoDB
Capture syslog messages from various protocols with the Syslog plugin. This plugin allows integration of structured logging data into monitoring systems, utilizing TCP, UDP, and TLS.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
AWS Data Firehose and MongoDB
AWS Data Firehose Input Plugin enables real-time metric ingestion from AWS Data Firehose via HTTP. It supports various data formats and offers security and configuration options for flexible integration.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
Salesforce and MongoDB
Salesforce plugin monitors API usage limits in Salesforce organizations. It fetches data through Salesforce's REST API to provide insights on remaining usage and thresholds.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
HTTP and MongoDB
The HTTP plugin collects metrics from one or more HTTP(S) endpoints.
It supports various authentication methods and configuration options for data formats.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
Nginx and MongoDB
The Nginx plugin monitors the performance of Nginx servers, gathering important status information for server performance tracking.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
OpenStack and MongoDB
The OpenStack Telegraf plugin collects metrics from OpenStack services, aiding in performance monitoring. It allows users to configure polling intervals and manage enabled services to optimize data collection.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
Azure Event Hubs and MongoDB
A plugin to consume data from Azure Event Hubs and Azure IoT Hub, facilitating real-time data processing.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
OpenTelemetry and MongoDB
The OpenTelemetry Telegraf plugin facilitates the ingestion of telemetry data through gRPC, providing support for traces, metrics, and logs. This ensures that applications can be monitored effectively using the OpenTelemetry standard.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
Google Cloud Storage and MongoDB
Collects metrics from Google Cloud Storage buckets for performance monitoring.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
Kinesis and MongoDB
The Kinesis plugin allows for reading metrics from AWS Kinesis streams. It supports multiple input data formats and offers checkpointing features with DynamoDB for reliable message processing.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
RabbitMQ and MongoDB
The RabbitMQ plugin collects metrics from RabbitMQ servers, enabling effective monitoring of message queues and processing. It supports various metrics essential for maintaining the health and performance of RabbitMQ instances.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
Kubernetes and MongoDB
The Kubernetes input plugin gathers metrics about running containers and pods from the Kubelet API, tailored for deployment as a daemonset within a Kubernetes cluster. It enables efficient monitoring of cluster resources and ensures compatibility with supported Kubernetes versions.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
Docker and MongoDB
Monitor the performance and resource usage of Docker containers. This plugin provides essential metrics for understanding container health and resource consumption.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
Fluentd and MongoDB
Fluentd Input Plugin collects metrics from the Fluentd monitoring endpoint. It helps users monitor fluentd plugins and manage performance efficiently.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
MQTT and MongoDB
The MQTT plugin is a service input for reading metrics from specified MQTT topics. It supports various data formats and configuration options for reliable message consumption.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
Suricata and MongoDB
The Suricata plugin collects performance stats from the Suricata IDS/IPS engine, providing vital insights into network operations. It transforms Suricata's JSON outputs into metrics suitable for Telegraf.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
SNMP Trap and MongoDB
The SNMP Trap input plugin allows for receiving and processing SNMP traps and inform requests over UDP. It is essential for network monitoring, enabling integration with a multitude of devices to capture and respond to network events.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
Hashicorp Nomad and MongoDB
The Hashicorp Nomad input plugin collects metrics from Nomad agents in a cluster. It helps in monitoring the health and performance of the Nomad environment.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
Webhooks and MongoDB
This plugin provides an HTTP server for handling webhook requests from various services. It handles events and metrics sent to different configured paths, facilitating integration with external systems.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
Supervisor and MongoDB
The Supervisor plugin collects metrics from processes managed by Supervisor using XML-RPC. It provides insights into process states, uptime, and other relevant metrics for effective monitoring.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
Google Cloud PubSub and MongoDB
A plugin for ingesting metrics from Google Cloud PubSub subscriptions, providing real-time data integration capabilities.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
Kafka and MongoDB
This plugin reads messages from Kafka and allows the creation of metrics based on those messages. It supports various configurations, settings, and message processing options.
This plugin allows for the transmission of metrics to MongoDB, leveraging time series collections for efficient data storage. It simplifies management of metric data while benefiting from MongoDB's robust database features.
AMQP RabbitMQ Performance Metrics
AMQP Consumer Telegraf Input Plugin provides a consumer for use with AMQP 0-9-1.
Aerospike Monitoring
The Aerospike Input Plugin queries Aerospike servers and gets node statistics.
Alerta Monitoring
Sends alerts for consolidation and de-duplication via a JSON API.
Alibaba CloudMonitor Service (Aliyun)
The Alibaba CloudMonitor Service (Aliyun) Telegraf Input Plugin pulls metric statistics from Aliyun CMS.
Amazon CloudWatch Logs Output Telegraf Plugin
The Amazon CloudWatch Logs Output Telegraf Plugin allows you to send logs from your applications and infrastructure to AWS CloudWatch.
Amazon CloudWatch Monitoring
The Amazon CloudWatch Output Telegraf Plugin sends metrics to Amazon CloudWatch.
Amazon CloudWatch Statistics Telegraf Input Plugin
The Amazon CloudWatch Statistics Input Plugin pulls metric statistics from AWS CloudWatch.
Amazon ECS Metrics
Amazon ECS input plugin gathers stats on running containers in a task.
Amazon Kinesis Monitoring
The Amazon Kinesis Consumer Input Plugin reads from a Kinesis data stream.
Apache ActiveMQ Monitoring
The ActiveMQ input plugin gathers queues, topics, and subscriber metrics.
Apache Aurora Schedulers Monitoring
The Aurora Input Plugin gathers metrics from an Apache Aurora Scheduler.
Apache HTTP Server Metrics
The Apache HTTP Server Input Plugin collects server performance information.
Apache Kafka Burrow Monitoring
The Burrow Input Plugin collects Apache Kafka topic, consumer, and partition status.
Apache Kafka Monitoring Tool
The Apache Kafka Consumer input plugin polls a specified Kafka topic.
Apache Mesos Monitoring
The Apache Mesos input plugin gathers metrics from Mesos.
Apache Solr Telegraf Monitoring
The Apache Solr Input Plugin collects stats using the MBean Request Handler.
Apache Superset
Apache Superset is a data visualization tool that makes it easy to build charts and dashboards which display data from a number of different data sources.
Apache Tomcat Monitoring
The Apache Tomcat input plugin collects statistics available from the manager status page.
Apache Zipkin Monitoring
The Zipkin plugin gathers trace and timing data to troubleshoot latency problems.
Apache Zookeeper Monitoring
The Zookeeper Input Plugin reads `mntr` stats and collects the outputted variables.
Apcupsd Monitoring
The Apcupsd plugin reads data from an apcupsd daemon, facilitating power management and control.
Arista Lanz Consumer Monitoring
The Arista LANZ Consumer plugin provides a consumer for use with LANZ.
Azure Data Explorer Telegraf Output Plugin
The Azure Data Explorer output plugin writes metrics to Azure Data Explorer.
Azure Storage Queue Monitoring
The Azure Storage Queue plugin gathers sizes of Azure Storage Queues.
BIND 9 DNS Server Monitoring
This plugin decodes the JSON or XML statistics provided by BIND 9 nameservers.
Bcache Telegraf Monitoring
The Bcache plugin gets statistics from the `stats_total` directory and `dirty_data` file.
Beanstalkd Monitoring
The Beanstalkd input plugin collects server stats as well as tube stats.
Beat Telegraf Plugin
The Beat Input Plugin collects metrics from Beat instances.
Bond Interfaces Monitoring
The Bond Input Plugin collects network bond interface and slaves interfaces status.
C# and InfluxDB
Code in C# with InfluxDB to query, write, and manage data.
CPU Performance Metrics
The CPU Telegraf input plugin gathers metrics about CPU usage.
Cassandra Metrics Monitoring
This plugin collects Cassandra 3 / JVM metrics exposed as MBean attributes.
Ceph Storage Platform Monitoring
This input plugin collects performance metrics from the MON and OSD nodes.
Chrony Network Time Protocol Monitoring
The Chrony input plugin gets standard chrony metrics, requires chrony executable.
Cisco Model-Driven Telemetry Monitoring
This input plugin consumes telemetry data from various Cisco platforms.
Cisco gNMI Telemetry Monitoring
This input plugin consumes telemetry data similar to the GNMI specification.
Connection Tracking “Conntrack” Monitoring
The Conntrack Input Plugin collects stats from Netfilter's conntrack-tools.
Consul Monitoring
Collect statistics about all health checks registered in the Consul (via the Consul API).
Control Groups Monitoring
The CGroup input plugin captures specific statistics per cgroup.
CouchDB Performance Database Monitoring
Gather the statistics specific to the internals of CouchDB.
Couchbase Server Monitoring
This plugin allows you to read per-node (memory) and per-bucket (quota, disk, memory) metrics from Couchbase.
DNS Query Monitoring
The DNS Query Telegraf Plugin gathers DNS query times in milliseconds.
Disk Telegraf Monitoring
The Disk Telegraf Plugin gathers metrics about disk usage by mount point.
DiskIO Metrics for Monitoring
The DiskIO Input Plugin gathers metrics about Disk I/O by device.
Docker Container Monitoring
Metrics from the Docker engine API.
Dovecot Protocol Monitoring
Dovecot is an open source IMAP and POP3 email server for Linux/UNIX-like systems, written with security primarily in mind.
Elasticsearch Search Engine Monitoring
Elasticsearch is a search engine based on Lucene. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents.
Ethtool Command Monitoring
The Ethtool Telegraf Plugin gathers ethernet device statistics.
Event Hub Consumer Telegraf Plugin
The Azure Event Hub Consumer Telegraf Input Plugin collects metrics from Azure Event and IoT Hubs.
Fail2ban Monitoring
The Fail2ban input plugin gathers counts of failed and banned IP addresses.
Fibaro System Monitoring
The Fibaro input plugin makes HTTP calls to the Fibaro controller API.
FireBoard Thermometer Monitoring
The Fireboard input plugin gathers real time temperature data from Fireboard thermometers.
GitHub Metrics for Monitoring
GitHub Telegraf Input Plugin gathers repository information from GitHub-hosted repositories.
Go and InfluxDB
Build IoT, analytics, and cloud applications using the Go client library with InfluxDB.
Google Cloud PubSub Push Telegraf Input Plugin
This plugin listens for messages sent using HTTP POST requests from Google Cloud PubSub.
Google Data Studio Monitoring
Data Studio Connector lets users query datasets from InfluxDB v2 instances through the InfluxDB API.
Google Stackdriver Metrics
The Stackdriver Input Plugin gathers metrics from the Stackdriver Monitoring API.
Graylog Monitoring Metrics
Data from remote Graylog service URLs (multiple & namespaces endpoints).
HTTP Listener v2 Monitoring
This is a service input plugin that listens for metrics sent via HTTP.
Hddtemp Monitoring
The Hddtemp Input Plugin reads data from `hddtemp` daemons.
High Availability Proxy Metrics
The HAproxy input plugin gathers metrics directly from any running HAproxy instance.
HipChat Monitoring
Sends alerts via HipChat webservice for group chat, video chat & screensharing.
Hue Bridge Telegraf Input Plugin
The Hue Bridge Telegraf Input Plugin gathers smart home statistics from Hue Bridge devices.
IPMI Sensor Monitoring
This input plugin queries the local machine or remote host sensor statistics.
IPtables Monioring
The IPtables Input Plugin gathers packets and bytes counters for rules.
Icinga 2 Monitoring
The Icinga 2 Input Plugin gathers status on running services and hosts.
InfluxDB Scraper
InfluxDB scrapers collect data from specified targets at regular intervals, then write the scraped data to an InfluxDB bucket.
Internet Speed Monitor Telegraf Input Plugin
The Internet Speed Monitor Telegraf Input Plugin collects data about the internet speed for a system.
Interrupts Monitoring
The Interrupts Telegraf Plugin gathers metrics about IRQs, including `interrupts`.
Ipset Monitoring
The Ipset input plugin gathers packets and bytes counters from Linux `ipset`.
JTI OpenConfig Telemetry Monitoring
This input plugin reads Juniper Networks implementation of OpenConfig telemetry data.
Java and InfluxDB
Easily query, write, and manage data in InfluxDB using Java.
JavaScript and InfluxDB
Build IoT, analytics, and cloud applications using the Javascript client library with InfluxDB.
Jenkins API Monitoring
This plugin collects information about the nodes (disk, mem, swap, etc) and jobs running in a jenkins instance (duration, result_code).
Jolokia2 Agent Telegraf Input Plugin
This input plugin reads JMX metrics from Jolokia agent REST endpoints.
KNX Telegraf Input Plugin
The KNX Telegraf Input Plugin listens for messages on the KNX (Konnex) home-automation bus.
Kapacitor and Slack Metrics
Sends alerts to IT, Ops & Dev teams for on-call duty & escalation via instant messaging communication platform.
Kepware OPC Monitoring
Collecting and storing tag data, at scale, with Kepware and InfluxDB is easy.
Kernel Input Monitoring
The Kernel Input Plugin gathers kernel statistics from `/proc/stat`.
Kernel VMStat Telegraf Input Plugin
The Kernel VMStat Input Plugin gathers virtual memory statistics from /proc/vmstat.
Kubernetes Inventory Monitoring
Generates metrics derived from the state of the various Kubernetes resources.
Kubernetes Monitoring
Pods/containers metrics (cpu, mem, disk, etc) from the kubelet API.
LeoFS Monitoring Integration
LeoFS is a highly available, distributed, eventually consistent object/blob store.
Linux Sysctl FS Monitoring
The Linux Sysctl FS Inputl Plugin provides Linux system level file metrics.
Lustre Monitoring Tool
Monitors Lustre using Proc filesystem.
MQTT Consumer Telegraf Input Plugin
The MQTT Consumer Telegraf Input Plugin allows you to receive messages from MQTT brokers.
MQTT Producer Telegraf Output Plugin
The MQTT Producer Telegraf Output Plugin allows you to send messages to MQTT brokers from Telegraf.
MailChimp Metrics Monitoring
Pulls email campaign reports from the Mailchimp API.
Mcrouter Monitoring
The Mcrouter Input Plugin gathers statistics data from a mcrouter instance.
Mem Monitoring
The Mem Input Plugin collects system memory metrics.
Memcached Monitoring Integration
Memcached is a free and open source, high-performance, distributed memory object caching system, generic in nature, but intended for use in speeding up dynamic web applications by alleviating database load.
Mesosphere DC/OS Telegraf Input Plugin
The Mesosphere DC/OS input plugin gathers metrics from a DC/OS cluster's metrics component.
Microsoft Azure Monitor Telegraf Output Plugin
The Microsoft Azure Monitor Output Plugin sends custom metrics to Microsoft Azure Monitor.
Microsoft SQL Server Monitoring
This plugin provides metrics for your SQL Server instance. It currently works with SQL Server 2008 SP3 and newer.
Modbus Master Monitoring
The Modbus Input Plugin collects `discrete_inputs`, `coils`, `input_registers` and `holding_registers`.
MongoDB Performance Monitoring Database
MongoDB is a free and open-source cross-platform document-oriented database program, published under the GNU Affero General Public License.
Monit Management and Monitoring
This input plugin gathers metrics and status information about systems managed by Monit.
MySQL Performance Monitoring Database
MySQL is an open-source relational database management system (RDBMS).
NATS Server Analytics Monitoring
NATS Server is a simple, high performance open source messaging system for cloud native applications, IoT messaging, and microservices architectures.
NSQ Monitoring
NSQ is a real-time messaging platform that's distributed, scalable, ops-friendly, and integrated.
NVIDIA SMI Telegraf Input Plugin
The NVIDIA SMI input plugin pulls GPU stats from the NVIDIA SMI binary.
Neptune Apex Monitoring
The Neptune Apex controller family allows an aquarium hobbyist to monitor and control their tanks based on various probes.
Net Monitoring
The Net input plugin gathers metrics about network interface usage (Linux only).
Netstat Telegraf Input Plugin
The Netstat Input Plugin gathers TCP metrics such as established, time-wait and sockets counts.
Network Response Monitoring
This plugin tests UDP/TCP connections response time and can optional verify text in the response.
Nginx Monitoring
nginx [engine x] is an HTTP and reverse proxy server, a mail proxy server, and a generic TCP/UDP proxy server, originally written by Igor Sysoev.
OPC Unified Architecture Monitoring
OPC-UA Telegraf plugin enables avoiding paying excessive fees to build collectors to gather information into your traditional historian solution.
OpenNTPD Monitoring
The OpenNTPD input plugin gathers standard Network Time Protocol (NTP) query metrics.
OpsGenie Monitoring
Sends alerts to IT, Ops & Dev teams for on-call duty & escalation.
PF Monitoring
The PF input plugin gathers information from the FreeBSD/OpenBSD pf firewall.
PHP-FPM Monitoring
PHP-FPM (FastCGI Process Manager) is an alternative PHP FastCGI implementation with some additional features useful for sites of any size, especially busier sites.
PagerDuty System Monitoring
Keep track of operations and trigger notification conditionals so decrease time reacting to incidents.
PgBouncer Monitoring
The PgBouncer Telegraf Input Plugin gathers metrics from PgBouncer.
Phusion Passenger Monitoring
Phusion Passenger provides easy, scalable and reliable web app deployment for Ruby, Python, Node.js, and Meteor.
Ping ICMP Monitoring
This plugin measures the round-trip for ping commands, response time, and other packet statistics.
PostgreSQL Database System Monitoring
PostgreSQL is a powerful, open source object-relational database system. It has more than 15 years of active development and a proven architecture.
PostgreSQL Output Plugin
PostgreSQL Output plugin writes metrics to PostgreSQL sources.
PowerDNS Monitoring Integration
This input plugin gathers metrics about PowerDNS using UNIX sockets.
PowerDNS Recursor Monitoring
The PowerDNS Recursor Input Plugin gathers metrics about PowerDNS Recursor using UNIX sockets.
Processes Monitoring
The Processes input plugin gathers info about the total number of processes.
Procstat Monitoring
The procstat input plugin collects process performance and usage data.
Prometheus Client Telegraf Output Plugin
The Prometheus Client Output Plugin exposes metrics for Prometheus servers to poll.
Prometheus System Monitoring Tool
Metrics from HTTP servers exposed in the Prometheus format.
Prometheus Telegraf Input Plugin
The Prometheus input plugin gathers metrics from HTTP servers.
Puppet Monitoring Tool
Puppet monitoring tool overlooks the status of the server—the success or failure of actual puppet runs on the end nodes themselves.
Python and InfluxDB
Use the Python Client Library to write and query InfluxDB.
Quix for InfluxDB
You can use Quix to query, analyze, and act on data without learning a new scripting syntax.
RabbitMQ Monitoring Cluster
RabbitMQ is open source message broker software (sometimes called message-oriented middleware) that implements the Advanced Message Queuing Protocol (AMQP)
Redis Sentinel Monitoring
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache and message broker.
RethinkDB Monitoring
RethinkDB is a free and open-source, NoSQL, distributed document-oriented database originally created by the company of the same name.
Ruby and InfluxDB
Managing, querying, and writing data with Ruby in InfluxDB.
S.M.A.R.T. Monitoring
The S.M.A.R.T input plugin collects data about hard drive health across your system.
SNMP Agent Protocol Monitoring
This plugin is commonly used for bandwidth monitoring by collecting and organizing information about devices on IP networks.
Sampled Flow Monitoring
The sFlow Input Plugin provides support for acting as an sFlow V5 collector in accordance with the specification from sflow.org.
Scala and InfluxDB
Using Scala with InfluxDB to handle data queries, writing, and management.
Sensors Data Monitoring
The Sensors Input Plugin collects sensor metrics from the `lm-sensor` package.
Siemens S7 Comm Telegraf Input Plugin
The Siemens S7 Comm Telegraf Input Plugin gathers data from Siemens PLC using the gos7 library.
Socket Listener Monitoring
The Socket Listener Input Plugin listens for messages from streaming or datagram protocols.
Suricata Telegraf Input Plugin
The Suricata Input Plugin reports internal performance counters of the Suricata IDS/IPS engine.
Swap Memory Monitoring
Supports: Linux only. The Swap Input Plugin gathers metrics about swap memory usage.
Synproxy Telegraf Input Plugin
The Synproxy Input Plugin gathers Synproxy metrics. Synproxy is a Linux netfilter module used for SYN attack mitigation.
Syslog Server Monitoring
Syslog is a protocol standard that describes how log messages should be formatted and transmitted.
Sysstat Performance Monitoring
The sysstat input plugin collects system performance and usage data.
System Metrics for Monitoring
The System input plugin gathers stats on system load, uptime, and number of users logged in.
Temp Telegraf Input Plugin
The Temp Input Plugin gathers metrics on system temperature.
Unbound Telegraf Input Plugin
The Unbound Input Plugin gathers statistics from Unbound, a validating, recursive, and caching DNS resolver.
VMware vSphere Monitoring
The VMware vSphere input plugin uses the vSphere API to gather metrics from multiple vCenter servers.
Vector
The Vector ecosystem integration writes observability data to InfluxDB.
VictorOps Incident Management Monitoring
Sends alerts to IT, Ops & Dev teams for on-call duty & escalation.
Windows OS Services Monitoring
The Windows Services input plugin reports Windows services info.
Windows Performance Counters Monitoring
The Windows Performance Counters input plugin reads Performance Counters on the Windows operating system.
Wireless Telegraf Input Plugin
The Wireless Input Plugin gathers metrics about wireless link quality.
X.509 Certificate Monitoring
The X.509 Certificate input plugin provides information about X.509 certificate.
ZFS Telegraf Input Plugin
The ZFS Input Plugin collects metrics from ZFS file systems.
