Predict Incidents Before They Happen
Every deployment is scored 0–100 using 7 validated risk factors. Know whether your next deploy is safe before you push the button. Block high-risk deploys automatically with GitHub Check Runs.
Overall risk score
87
7 risk factors, research-validated
Every factor is backed by incident post-mortems and deployment failure research. Not guesswork — data.
Test Coverage
Files modified with low test coverage significantly increase deployment risk. Koalr integrates with Codecov and SonarCloud to pull real coverage percentages per file.
CODEOWNERS Compliance
If a PR modifies files owned by a team that has not reviewed it, the risk score increases substantially. Koalr syncs CODEOWNERS daily and validates against PR reviewers.
File Churn Rate
Files that change frequently are more error-prone. Koalr tracks 30-day churn rates per file and weights high-churn files more heavily in the risk calculation.
Author Experience
How familiar is the PR author with the files they changed? Koalr tracks commit history per author per file to estimate expertise. First-time changes to critical paths score higher risk.
PR Size
Large PRs are harder to review thoroughly and more likely to contain bugs. PRs over 500 lines changed receive a risk penalty. Over 1,000 lines receives maximum penalty.
Deploy Timing
Deployments on Fridays, late afternoons, and during on-call low-staffing windows carry higher rollback risk. Koalr factors in time-of-day and day-of-week patterns.
Historical Failure Rate
Services with recent deployment failures, high MTTR, or frequent rollbacks receive elevated baseline risk. Koalr tracks per-service deployment health over the last 90 days.
Works with your existing deploy platform
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