jenkinsci / opentelemetry-agent-metrics-plugin

Monitor Jenkins build agents using Opentelemetry Collector and Node exporter
https://plugins.jenkins.io/opentelemetry-agent-metrics/
MIT License
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monitoring observability opentelemetry

Otel + Node exporter monitoring of agents

This plugin integrates with the Opentelemetry Collector and Node exporter for monitoring of build agents.

It does this by deploying the Prometheus node exporter and Opentelemetry (Otel) Collector on job agents. The Otel Collector will scrape the metrics from node exporter.

On the job page a link will be displayed to a Grafana dashboard displaying the metrics of any build agents for a given build.

main-job-page

grafana-dashboard

configuration

Usage

Building the plugin

  1. Clone the GitHub repository.
  2. Import the Maven project into your favorite IDE (IntelliJ, Eclipse, etc.).
  3. Build the plugin using the maven wrapper script (./mvnw clean package verify).
  4. The plugin is created at target/opentelemetry-agent-metrics.hpi.

Installing the plugin

Manual install

  1. Copy the hpi file to your Jenkins build server and place it in the Jenkins plugin directory (usually /var/lib/jenkins/plugins).
  2. Ensure that the plugin is owned by the jenkins user.
  3. Restart Jenkins.

Web UI install

  1. Log into your Jenkins web UI.
  2. On the left-hand side of the screen, click “Manage Jenkins”.
  3. Click “Manage Plugins”.
  4. Near the top of the screen, click on the “Advanced” tab.
  5. Under the “Upload Plugin”, click “Choose File” and select the Otel monitoring plugin that you previously downloaded.
  6. Click “Upload”.
  7. Check the “Restart Jenkins when installation is complete and no jobs are running” checkbox.
  8. Wait for Jenkins to restart.

Offline installation

Follow https://www.jenkins.io/doc/book/installing/offline/ on how to install this plugin in an offline Jenkins instance.

First-time configuration instructions

  1. Log into your Jenkins web UI.
  2. On the left-hand side of the screen, click “Manage Jenkins”
  3. Click “Configure System”.
  4. Scroll down to the “ONMonit” header.
  5. Enter the URL of the Grafana dashboard which will display the agent metrics.
  6. Optionally enter a URL from which the executables can be downloaded to the agents. cf Setup the executable source
  7. Click “Save”.

Setup the executable source

In order for this plugin to work 2 executables are run on the agents.

These executables can either be:

It's not necessary to have executables for all OSs and architectures, only those required for your CI agents.

These executables are available for download on

Be sure to use the exact versions required by this plugin!

Example

When running build agents on Linux amd64 and Mac Os arm64, then either

Using the plugin in Jenkins Pipeline

  1. Go to Job > Pipeline Syntax > Snippet Generator
  2. Select "onMonit" sample step.
  3. Click "Generate Pipeline Script"

When used in a pipeline involving multiple agents (eg. parallel stages), then onMonit needs to be explicitly used for each stage running on a different node!

Using the plugin in declarative Jenkins Pipeline

  1. Go to Job > Pipeline Syntax > Declarative Directive Generator
  2. Select "options" sample directive.
  3. Add "onMonit".
  4. Click "Generate Declarative Directive"

When used in a pipeline involving multiple agents (eg. parallel stages), then onMonit needs to be explicitly used for each stage running on a different node!

Using the plugin in Jenkins job

Currently, it's only possible to use this plugin in Pipeline jobs and not in freestyle jobs.

Configuration of Grafana

The dashboard to which this plugin links should be able to display the metrics gathered from the agents.
Node Exporter Full was used as a basis to develop node-exporter-full-ci.json. You can use this dashboard by importing the JSON file defining the dashboard linked above.

This dashboard additionally allows selecting by jobGroup, jobName, jobId and executor.

Hardware requirements

The monitoring processes usually use 2MB in memory and 200 MB in disk size. CPU usage is minimal.