Observability
Metrics
Metrics are numerical measurements aggregated over time or dimensions, such as CPU usage, memory consumption, or job duration. They reveal trends and anomalies but usually require logs or traces to explain individual events.
Why it matters
Numerical trends reveal bottlenecks, regressions, and inefficient capacity allocation.
Practical example
Graph peak memory by job type to identify workloads needing larger runners.
Related terms
Sources
Definition reviewed .
Start with $10 in free credits
Change the runner label in your workflow and keep the rest of your GitHub Actions setup. Runner time is billed per minute.