Due to the upstream project being stale -- catchpoint#101 (comment), this fork contains an alternative implementation of the chart that uses GFM mermaid, removing the dependency of external charting service, however it does have some limitations

Mermaid implementation is inspired by https://github.com/dev-hato/actions-workflow-metrics, a big chuck of AI code, and some tweaking to make it look good to me

This is good enough to solve my use case, hopefully it would be enough for yours

A GitHub Action to track and monitor the

• workflow runs, jobs and steps
• resource metrics
• and process activities of your GitHub Action workflow runs. If the run is triggered via a Pull Request, it will create a comment on the connected PR with the results and/or publishes the results to the job summary.

The action traces the jobs' step executions and shows them in trace chart,

And collects the following metrics:

• CPU Load (user and system) in percentage
• Memory usage (used and free) in MB
• Network I/O (read and write) in MB
• Disk I/O (read and write) in MB

And traces the process executions (only supported on Ubuntu)

as trace chart with the following information:

• Name
• Start time
• Duration (in ms)
• Finish time
• Exit status as success or fail (highlighted as red)

and as trace table with the following information:

• Name
• Id
• Parent id
• User id
• Start time
• Duration (in ms)
• Exit code
• File name
• Arguments

An example output of a simple workflow run will look like this.

To use the action, add the following step before the steps you want to track.

permissions:
  pull-requests: write
jobs:
  workflow-telemetry-action:
    runs-on: ubuntu-latest
    steps:
      - name: Collect Workflow Telemetry
        uses: catchpoint/workflow-telemetry-action@v2