perf-regression

Prevent performance degradation in Rust by capturing baseline metrics with Cargo benchmarks and comparing subsequent code changes against them. The workflow enforces acceptance criteria for performance deltas across specified repositories to ensure critical code paths remain fast.

Detect performance regressions by running a benchmarking workflow that quantifies post-change performance against an established baseline. It defines clear thresholds for acceptable performance changes, ensuring new code modifications do not significantly slow down the existing scanning engine.

Set up performance baselines by capturing initial metrics for key operations using Cargo benchmarks before applying code changes. The baseline measurement establishes a reference point to accurately identify and quantify any subsequent performance regressions.

Yes, you can enforce acceptance criteria for performance deltas across specified repositories. The workflow compares post-change benchmark results against established baselines and automatically flags changes that exceed your defined performance degradation thresholds.

Yes, this performance regression testing integrates with CI/CD pipelines to automatically evaluate code quality. It runs Cargo benchmarks on critical code paths during the pipeline execution to ensure modifications meet performance acceptance criteria before deployment.

Run a performance regression check before merging changes that modify critical code paths or the core scanning engine. This ensures the new code is not significantly slower than the established baseline and maintains expected performance standards.