perf-benchmark-checklist

To establish baseline performance metrics, you define key indicators like latency, throughput, and resource usage for critical user journeys. This Skill provides a structured checklist to capture these metrics consistently for pre-deployment validation.

Performance regression testing detects performance degradations after code changes by comparing current metrics against established baselines. You need it during pre-deployment validation and post-deployment monitoring to ensure new features don't negatively impact response times or resource consumption.

You set regression thresholds by defining clear criteria for acceptable latency, throughput, and resource usage limits based on your baseline metrics. This Skill helps establish these specific thresholds to identify when performance degrades beyond acceptable limits after changes.

Yes, you can use this performance benchmark checklist for pre-deployment validation. It applies directly to performance testing scenarios before deploying new features, ensuring changes meet performance expectations and do not introduce regressions in critical user journeys.

You should track key performance indicators including latency, throughput, and resource usage for critical user journeys. This Skill focuses on defining these KPIs to establish baseline metrics and set regression detection criteria for consistent benchmarking.

Yes, you need to define test environment specifications before performance benchmarking. This Skill requires specifying test environments alongside critical user journeys and regression thresholds to ensure repeatable benchmarking and accurate baseline performance metrics.