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To find these metrics, open the GitHub Actions dashboard, select a repository’s workflow, open a run, and click a job to open its job view. The dedicated job view allows correlating job steps with performance metrics and comparing a job’s performance to previous runs. This visibility helps you identify performance bottlenecks and track improvements over time.
Runner metrics
  • CPU Usage: Track processor utilization across all cores, identify CPU-intensive operations
  • Memory Consumption: Detect memory leaks and excessive allocation
  • Disk I/O: Understand disk read/write patterns, identify storage bottlenecks
  • Network Activity: Track network usage, bandwidth consumption, and connection patterns
The previous runs panel allows you to compare the performance of the current run to the recent history of this job.

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Last modified on September 22, 2026