role-aqa:performance-testing

You can design and execute load, stress, soak, and spike tests for APIs and services using tools like k6, JMeter, Gatling, and Artillery. This simulates concurrent users to ensure system responsiveness and stability under heavy loads.

Bottleneck analysis identifies and resolves performance limitations in applications, databases, and infrastructure. By executing targeted stress tests and analyzing the results, you can establish performance baselines and isolate specific areas causing degradation.

You can integrate performance gates into CI/CD pipelines to catch regressions early. By configuring automated load tests with specific latency thresholds, the pipeline blocks deployments if performance metrics fall below acceptable baselines.

You simulate 10,000 concurrent users by configuring a load test scenario using tools like k6 or JMeter. This tests whether the system remains responsive and stable under heavy traffic and identifies potential memory leaks during extended soak tests.

Yes, the performance testing approach supports soak and spike testing alongside load and stress tests. Soak tests evaluate system stability and detect memory leaks over extended periods, while spike tests assess behavior during sudden traffic surges.