Understanding Pipeline Success Rate
How we calculate. Success % = successful pipeline runs ÷ total runs × 100. The form uses the same arithmetic as the worked examples on this page. See our methodology and accuracy policy.
Real-world scenario: A typical Pipeline Success Rate case uses successful runs 460 and total runs 500. Enter the same figures below to reproduce the worked path.
What is Pipeline Success Rate?
Delivery-system reliability metric. Flaky tests and infra failures both reduce this rate.
- Define success (green main vs any branch)
- Count canceled runs per policy
- Segment by pipeline
The Formula
Worked Example
Common Use Cases
- Platform engineering: CI health
- Developer experience: flake cost
- Release trains: gate readiness
Pro Tips
- Track flaky test rate separately
- Watch queue time too
- Fix infra before blaming code
Limitations: Pipeline Success Rate results are educational DevOps/FinOps planning aids—not SLAs or billing guarantees. Confirm definitions with your platform and finance policies.
FAQ
Include canceled runs?
Only if your ops definition treats them as failures or excludes them—document the rule.
Main only?
Many teams report main/trunk separately from PR pipelines.
Authoritative References
For DORA and FinOps definitions, consult:
- DORA — Four Keys research and definitions
- Google SRE books — SLOs and error budgets
- FinOps Foundation — cloud cost practices