go-performance-test

Automating performance regression testing for Go in CI is done by comparing current benchmark metrics against a committed baseline using benchstat. This skill enforces a CI gate that fails builds when latency or memory regressions exceed a 12% threshold.

Benchstat distinguishes real performance regressions from CI runner noise by running a 10-sweep statistical analysis. This process identifies significant changes in Go benchmark latency and memory allocation rather than relying on a single run.

The best way to enforce performance budgets for critical Go handler logic is by maintaining a version-controlled baseline. This skill automatically blocks deployments if a benchmark regression exceeds a statistically significant 12% threshold.

Yes, you can fail a Go build automatically when a benchmark regression exceeds a specific threshold. This skill uses benchstat to detect statistically significant regressions over 12% in latency or memory and gates the CI pipeline.

Yes, a committed baseline is required to run statistical benchmark analysis on your Go application. This version-controlled baseline ensures performance is treated as a first-class requirement to detect regressions accurately.

You should replace manual ad-hoc benchmarking with a statistical regression gate to prevent performance degradation. This approach uses rigorous benchstat analysis to catch significant regressions before they reach production.