Webhooks and Grafana Integration

Input and output integration overview

The Webhooks plugin allows Telegraf to receive and process HTTP requests from various external services via webhooks. This plugin enables users to collect real-time metrics and events and integrate them into their monitoring solutions.

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

Webhooks

This Telegraf plugin is designed to act as a webhook listener by starting an HTTP server that registers multiple webhook endpoints. It provides a way to collect events from various services by capturing HTTP requests sent to defined paths. Each service can be configured with its specific authentication details and request handling options. The plugin stands out by allowing integration with any Telegraf output plugin, making it versatile for event-driven architectures. By enabling efficient reception of events, it opens possibilities for real-time monitoring and response systems, essential for modern applications that need instantaneous event handling and processing.

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

Webhooks

[[inputs.webhooks]]
  ## Address and port to host Webhook listener on
  service_address = ":1619"

  ## Maximum duration before timing out read of the request
  # read_timeout = "10s"
  ## Maximum duration before timing out write of the response
  # write_timeout = "10s"

  [inputs.webhooks.filestack]
    path = "/filestack"

    ## HTTP basic auth
    #username = ""
    #password = ""

  [inputs.webhooks.github]
    path = "/github"
    # secret = ""

    ## HTTP basic auth
    #username = ""
    #password = ""

  [inputs.webhooks.mandrill]
    path = "/mandrill"

    ## HTTP basic auth
    #username = ""
    #password = ""

  [inputs.webhooks.rollbar]
    path = "/rollbar"

    ## HTTP basic auth
    #username = ""
    #password = ""

  [inputs.webhooks.papertrail]
    path = "/papertrail"

    ## HTTP basic auth
    #username = ""
    #password = ""

  [inputs.webhooks.particle]
    path = "/particle"

    ## HTTP basic auth
    #username = ""
    #password = ""

  [inputs.webhooks.artifactory]
    path = "/artifactory"

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

Webhooks

1. Real-time Notifications from Github: Integrate the Webhooks Input Plugin with Github to receive real-time notifications for events such as pull requests, commits, and issues. This allows development teams to instantly monitor crucial changes and updates in their repositories, improving collaboration and response times.

2. Automated Alerting with Rollbar: Use this plugin to listen for errors reported from Rollbar, enabling teams to react swiftly to bugs and issues in production. By forwarding these alerts into a centralized monitoring system, teams can prioritize their responses based on severity and prevent escalated downtime.

3. Performance Monitoring from Filestack: Capture events from Filestack to track file uploads, transformations, and errors. This setup helps businesses understand user interactions with file management processes, optimize workflow, and ensure high availability of file services.

4. Centralized Logging with Papertrail: Tie in all logs sent to Papertrail through webhooks, allowing you to consolidate your logging strategy. With real-time log forwarding, teams can analyze trends and anomalies efficiently, ensuring they maintain visibility over critical operations.

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.