SNMP and Grafana Integration

Input and output integration overview

The SNMP plugin allows you to collect a variety of metrics from SNMP (Simple Network Management Protocol) agents. It provides flexibility in how data is retrieved, whether collecting single metrics or entire tables.

This plugin enables Telegraf to stream metrics directly to Grafana dashboards in real-time, leveraging Grafana Live for instantaneous data visualization and operational insights.

Integration details

SNMP

This plugin uses polling to gather metrics from SNMP agents, supporting retrieval of individual OIDs and complete SNMP tables. It can be configured to handle multiple SNMP versions, authentication, and other features.

Grafana

Telegraf can be used to send real-time data to Grafana using the Websocket output plugin. Metrics collected by Telegraf are instantly pushed to Grafana dashboards, enabling real-time visualization and analysis. This plugin is ideal for use cases where low latency, live data visualization is essential, such as operational monitoring, real-time analytics, and immediate incident response scenarios. It supports authentication headers, customizable data serialization formats (like JSON), and secure communication via TLS, offering flexibility and ease of integration in dynamic, interactive dashboard environments.

Configuration

SNMP

[[inputs.snmp]]
  agents = ["udp://127.0.0.1:161"]

  [[inputs.snmp.field]]
    oid = "RFC1213-MIB::sysUpTime.0"
    name = "sysUptime"
    conversion = "float(2)"

  [[inputs.snmp.field]]
    oid = "RFC1213-MIB::sysName.0"
    name = "sysName"
    is_tag = true

  [[inputs.snmp.table]]
    oid = "IF-MIB::ifTable"
    name = "interface"
    inherit_tags = ["sysName"]

    [[inputs.snmp.table.field]]
      oid = "IF-MIB::ifDescr"
      name = "ifDescr"
      is_tag = true

Grafana

[[outputs.websocket]]
  ## Grafana Live WebSocket endpoint
  url = "ws://localhost:3000/api/live/push/custom_id"

  ## Optional headers for authentication
  # [outputs.websocket.headers]
  #   Authorization = "Bearer YOUR_GRAFANA_API_TOKEN"

  ## Data format to send metrics
  data_format = "influx"

  ## Timeouts (make sure read_timeout is larger than server ping interval or set to zero).
  # connect_timeout = "30s"
  # write_timeout = "30s"
  # read_timeout = "30s"

  ## Optionally turn on using text data frames (binary by default).
  # use_text_frames = false

  ## TLS configuration
  # tls_ca = "/path/to/ca.pem"
  # tls_cert = "/path/to/cert.pem"
  # tls_key = "/path/to/key.pem"
  # insecure_skip_verify = false

Input and output integration examples

SNMP

1. Basic SNMP Configuration: Collect metrics from a local SNMP agent using typical SNMP community string settings. This setup is ideal for local monitoring of device performance.
2. Advanced SNMPv3 Setup: Securely collect metrics using SNMPv3 with authentication and encryption to enhance security. This configuration is recommended for production environments.
3. Collect Interface Metrics: Configure the plugin to collect interface metrics from the device’s SNMP table. Utilize fields to capture specific data points for traffic analysis.
4. Join Two SNMP Tables: By using translation fields, join data from two SNMP tables for a comprehensive view of correlated performance metrics.

Grafana

1. Real-Time Infrastructure Dashboards: Deploy Telegraf to stream server health metrics directly to Grafana dashboards, enabling IT teams to visualize infrastructure performance in real-time. This setup allows immediate detection and response to critical system events.

2. Interactive IoT Monitoring: Integrate IoT device metrics collected by Telegraf and push live data into Grafana, creating dynamic and interactive dashboards for monitoring smart city projects or manufacturing processes. This real-time visibility significantly enhances responsiveness and operational efficiency.

3. Instantaneous Application Performance Analysis: Stream application metrics in real-time from production environments into Grafana dashboards, enabling development teams to rapidly detect and diagnose performance bottlenecks or anomalies during deployments, minimizing downtime and improving reliability.

4. Live Event Analytics: Utilize Telegraf to capture and stream real-time audience or system metrics during major live events directly into Grafana dashboards. Event organizers can dynamically monitor and react to changing conditions or trends, significantly enhancing audience engagement and operational decision-making.

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.