- 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
Debugging
Performance Metrics
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.
Last modified on September 15, 2026