load-testing

This Skill performs automated load testing by applying configurable concurrent connections and duration parameters to defined web service endpoints. It measures latency, throughput, and error rates under baseline and peak traffic scenarios.

Stress testing collects latency p50/p95/p99, throughput (RPS), and error rates across your web services. These metrics guide capacity planning and help identify saturation levels during peak traffic scenarios.

You can compare new test results against a historical baseline to detect performance regressions. This baseline comparison highlights deviations in latency, throughput, and error rates to guide optimization and scaling decisions.

This Skill supports load testing microservices under baseline and peak traffic scenarios. You can apply configurable workload parameters to measure latency, throughput, and error rates across your distributed services.

Running automated load and stress tests with ramp-up scenarios is the best way to identify performance bottlenecks in web services. This approach reveals breaking points and saturation levels across your endpoints.

No specific dependencies are required to perform benchmarking on your endpoints. The Skill operates independently to orchestrate automated tests, aggregate metrics, and compare regressions against your configured baselines.