Why Is My CI So Expensive? Diagnosing a Runaway CI Bill
A CI bill that jumped overnight almost always traces to one of a handful of causes. Work down this list.
If your CI spend is climbing, it is rarely mysterious. Match your symptom to a cause below, then apply the fix.
Symptom → cause → fix
| Symptom | Likely cause | Fix |
|---|---|---|
| Bill 10x a Linux baseline | macOS runners | Move non-mac jobs to Linux; reserve macOS for builds that truly need it |
| Cost climbs with team size | No caching; every job rebuilds | Add dependency + build caching |
| Big jump after enabling larger runners | Larger runners bill from minute one | Right-size; move heavy jobs to managed runners |
| ~15% of minutes on re-runs | Flaky pipelines re-run manually | Use self-healing runners that auto-retry transient failures |
| Spend on every push to any branch | Chatty triggers, no path filters | Add paths filters and concurrency cancellation |
The two structural levers
After the quick wins, two changes move the bill the most: cheaper per-minute runners (managed runners are ~69% less than GitHub-hosted) and eliminating wasted re-runs (self-healing). Latchkey does both at once.
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