performance-benchmark

Automate performance testing by running configurable load, stress, spike, and soak test scenarios against your web services to quantify throughput and latency metrics. This framework supports pre-production validation and capacity planning for APIs.

Load, stress, spike, and soak testing are scalability benchmarking methods that simulate varied traffic conditions to identify system bottlenecks. Baseline tests establish reference metrics, while stress and spike tests evaluate upper limits and sudden surges.

Verify SLA compliance by collecting rich performance metrics during load testing to detect latency regressions across releases. The framework automates metrics collection and provides report templates to validate throughput against defined service level agreements.

Integrate benchmarking and capacity planning into your CI/CD pipeline to validate performance before deployment. Automated test scenarios run pre-production validation to ensure release comparisons meet throughput and latency requirements.

The best way to establish reference metrics for pre-production validation is to run a baseline performance test against your service. This quantifies standard throughput and latency under normal conditions for future release comparisons.