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 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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 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.
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.
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.
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.
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.
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.
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.
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.
