Site Reliability Engineering

Change Failure Rate Calculator

Enter total deployments and failed deployments to compute change failure rate, DORA tier classification, and gap to next tier.

No data is transmitted — everything runs locally

Change Failure Rate Calculator

The Change Failure Rate Calculator computes DORA CFR percentage, tier classification, and gap to Elite performance from deployment and failure counts.

• Calculate DORA change failure rate for a quarterly engineering review

• Determine current CFR tier before setting an improvement target

• Track CFR trend across quarters as a deployment quality KPI

• Identify gap to Elite tier for an OKR or roadmap planning

Uptime, incident, and on-call management. Better Stack provides status pages, incident management, and on-call scheduling for engineering teams.View deployments with Better Stack
What does this tool tell you?
The Change Failure Rate Calculator computes DORA CFR percentage, tier classification, and gap to Elite performance from deployment and failure counts.
What affects the result most?
Change failure rate = failed_deployments / total_deployments — DORA metric. DORA 2023 tiers: Elite/High ≤15%, Medium 16-29%, Low ≥30%. Failed deployment: any deployment that results in an incident, requires rollback, or degrades SLO.
How should I use the result?
The calculation is deterministic — the same inputs always produce the same output — so the most useful workflow is to vary one input at a time and see which factor moves the result most. That tells you where to focus your attention before committing to a decision.
A high change failure rate means your pipeline is shipping risk. The DevOps Health Pack scores change failure patterns — surfaces which deploy paths, services, and teams introduce the most failures.
View failure source analysis →
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