load-testing

To design a load test for web application APIs, you model realistic user scenarios and execute performance tests using tools like k6 and Artillery. This process analyzes key metrics to identify bottlenecks and ensure scalability under various load conditions.

The best way to automate performance testing in CI/CD pipelines is by integrating k6 or Artillery scripts into GitHub Actions. This provides automated performance validation for your APIs before deployment, ensuring stability under load.

Yes, you can simulate 1000 concurrent users accessing your API by running stress tests with k6 or Artillery. This models realistic user scenarios and analyzes key performance metrics to identify and fix potential bottlenecks.

Yes, load testing supports advanced scenarios including user flows, GraphQL endpoints, and data-driven tests. You can design and execute comprehensive performance tests to evaluate web application stability under these complex conditions.

Both k6 and Artillery are supported for performance testing to ensure application stability. You can use either tool to model realistic user scenarios, execute stress tests, and analyze key performance metrics to prevent downtime.