Analytics

Analytics answers the question that raw CI logs cannot: is this suite getting better, worse, or noisier over time?

All views support rolling windows such as 7, 14, 30, or 90 days.

The charts most teams use

• Pass rate trend to spot regressions
• Flaky tests to find unstable checks
• Top failing tests to prioritize cleanup work
• Failure distribution to separate assertion bugs from timeout or network noise
• Endpoint latency to find performance regressions from trace data
• Test duration trend to catch checks that are getting slower

Custom metrics

If your checks emit custom metrics through ctx.metric(), Cloud can chart them over time on dedicated metric views.

Good uses of analytics

• deciding which failures matter most
• proving a flaky suite is actually improving
• detecting a slow endpoint before it becomes a production issue

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