SNMP Trap and Loki Integration
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Table of Contents
Powerful Performance, Limitless Scale
Collect, organize, and act on massive volumes of high-velocity data. Any data is more valuable when you think of it as time series data. with InfluxDB, the #1 time series platform built to scale with Telegraf.
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Input and output integration overview
The SNMP Trap Telegraf plugin enables the receipt of SNMP notifications, facilitating comprehensive network monitoring by capturing important events from network devices.
The Loki plugin allows users to send logs to Loki for aggregation and querying, leveraging Loki’s efficient storage capabilities.
Integration details
SNMP Trap
The SNMP Trap plugin serves as a receiving endpoint for SNMP notifications, known as traps and inform requests. Operating over UDP, it listens for incoming notifications, which can be configured to arrive on a specific port. This plugin is integral to network monitoring and management, allowing systems to collect and respond to SNMP traps sent from various devices across the network, including routers, switches, and servers. The plugin supports secure transmission options through SNMPv3, enabling authentication and encryption parameters to protect sensitive data. Additionally, it gives users the flexibility to configure multiple aspects of SNMP like MIB file locations, making it adaptable for various environments and use cases. Transitioning from the deprecated netsnmp backend to the more current gosmi backend is recommended to leverage its enhanced features and support. Users implementing this plugin can effectively monitor network events, automate responses to traps, and maintain a robust network monitoring infrastructure.
Loki
This Loki plugin integrates with Grafana Loki, a powerful log aggregation system. By sending logs in a format compatible with Loki, this plugin allows for efficient storage and querying of logs. Each log entry is structured in a key-value format where keys represent the field names and values represent the corresponding log information. The sorting of logs by timestamp ensures that the log streams maintain chronological order when queried through Loki. This plugin’s support for secrets makes it easier to manage authentication parameters securely, while options for HTTP headers, gzip encoding, and TLS configuration enhance the adaptability and security of log transmission, fitting various deployment needs.
Configuration
SNMP Trap
[[inputs.snmp_trap]]
## Transport, local address, and port to listen on. Transport must
## be "udp://". Omit local address to listen on all interfaces.
## example: "udp://127.0.0.1:1234"
##
## Special permissions may be required to listen on a port less than
## 1024. See README.md for details
##
# service_address = "udp://:162"
##
## Path to mib files
## Used by the gosmi translator.
## To add paths when translating with netsnmp, use the MIBDIRS environment variable
# path = ["/usr/share/snmp/mibs"]
##
## Deprecated in 1.20.0; no longer running snmptranslate
## Timeout running snmptranslate command
# timeout = "5s"
## Snmp version; one of "1", "2c" or "3".
# version = "2c"
## SNMPv3 authentication and encryption options.
##
## Security Name.
# sec_name = "myuser"
## Authentication protocol; one of "MD5", "SHA", "SHA224", "SHA256", "SHA384", "SHA512" or "".
# auth_protocol = "MD5"
## Authentication password.
# auth_password = "pass"
## Security Level; one of "noAuthNoPriv", "authNoPriv", or "authPriv".
# sec_level = "authNoPriv"
## Privacy protocol used for encrypted messages; one of "DES", "AES", "AES192", "AES192C", "AES256", "AES256C" or "".
# priv_protocol = ""
## Privacy password used for encrypted messages.
# priv_password = ""
Loki
[[outputs.loki]]
## The domain of Loki
domain = "https://loki.domain.tld"
## Endpoint to write api
# endpoint = "/loki/api/v1/push"
## Connection timeout, defaults to "5s" if not set.
# timeout = "5s"
## Basic auth credential
# username = "loki"
# password = "pass"
## Additional HTTP headers
# http_headers = {"X-Scope-OrgID" = "1"}
## If the request must be gzip encoded
# gzip_request = false
## Optional TLS Config
# tls_ca = "/etc/telegraf/ca.pem"
# tls_cert = "/etc/telegraf/cert.pem"
# tls_key = "/etc/telegraf/key.pem"
## Sanitize Tag Names
## If true, all tag names will have invalid characters replaced with
## underscores that do not match the regex: ^[a-zA-Z_:][a-zA-Z0-9_:]*.
# sanitize_label_names = false
## Metric Name Label
## Label to use for the metric name to when sending metrics. If set to an
## empty string, this will not add the label. This is NOT suggested as there
## is no way to differentiate between multiple metrics.
# metric_name_label = "__name"
Input and output integration examples
SNMP Trap
-
Centralized Network Monitoring: Integrate the SNMP Trap plugin into a centralized monitoring solution to receive alerts about network devices in real-time. By configuring the plugin to listen for traps from various routers and switches, network administrators can swiftly react to issues, such as device outages or critical thresholds being surpassed. This setup enables proactive management and quick resolutions to network problems, ensuring minimal downtime.
-
Automated Incident Response: Use the SNMP Trap plugin to trigger automated incident response workflows whenever specific traps are received. For instance, if a trap indicating a hardware failure is detected, an automated script could be initiated to gather diagnostics, notify support personnel, or even attempt a remediation action. This approach enhances the efficiency of IT operations by reducing manual interference and speeding up response times.
-
Network Performance Analytics: Deploy the SNMP Trap plugin to collect performance metrics along with traps for a comprehensive view of network health. By aggregating this data into analytics platforms, network teams can analyze trends, identify bottlenecks, and optimize performance based on historical data. This allows for informed decision-making and strategic planning around network upgrades or changes.
-
Integrating with Alerting Systems: Connect the SNMP Trap plugin to third-party alerting systems like PagerDuty or Slack. Upon receiving predefined traps, the plugin can send alerts to these systems, enabling teams to be instantly notified of important network events. This integration ensures that the right people are informed at the right time, helping maintain high service levels and quick issue resolution.
Loki
-
Centralized Logging for Microservices: Utilize the Loki plugin to gather logs from multiple microservices running in a Kubernetes cluster. By directing logs to a centralized Loki instance, developers can monitor, search, and analyze logs from all services in one place, facilitating easier troubleshooting and performance monitoring. This setup streamlines operations and supports rapid response to issues across distributed applications.
-
Real-Time Log Anomaly Detection: Combine Loki with monitoring tools to analyze log outputs in real-time for unusual patterns that could indicate system errors or security threats. Implementing anomaly detection on log streams enables teams to proactively identify and respond to incidents, thereby improving system reliability and enhancing security postures.
-
Enhanced Log Processing with Gzip Compression: Configure the Loki plugin to utilize gzip compression for log transmission. This approach can reduce bandwidth usage and improve transmission speeds, especially beneficial in environments where network bandwidth may be a constraint. It’s particularly useful for high-volume logging applications where every byte counts and performance is critical.
-
Multi-Tenancy Support with Custom Headers: Leverage the ability to add custom HTTP headers to segregate logs from different tenants in a multi-tenant application environment. By using the Loki plugin to send different headers for each tenant, operators can ensure proper log management and compliance with data isolation requirements, making it a versatile solution for SaaS applications.
Feedback
Thank you for being part of our community! If you have any general feedback or found any bugs on these pages, we welcome and encourage your input. Please submit your feedback in the InfluxDB community Slack.
Powerful Performance, Limitless Scale
Collect, organize, and act on massive volumes of high-velocity data. Any data is more valuable when you think of it as time series data. with InfluxDB, the #1 time series platform built to scale with Telegraf.
See Ways to Get Started
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