performance-testing

Performance testing identifies bottlenecks by executing load, stress, spike, endurance, and scalability tests against your application. These tests simulate realistic user scenarios and measure response times, error rates, and resource utilization to reveal database, API, or code-level constraints before deployment.

Yes. Tools like k6, JMeter, Gatling, and Artillery integrate directly into continuous integration pipelines to automatically run performance tests on each build, catch regressions early, and enforce SLO compliance before code reaches production.

Validate SLOs by planning tests with predefined performance targets—such as 95th percentile response times under 200ms—then executing load tests with realistic concurrent users and test data. Collect end-to-end instrumentation data and compare actual results against your SLO thresholds.

No single tool is required. k6, JMeter, Gatling, and Artillery each support load, stress, and scalability testing with different interfaces and reporting styles. Choose based on your environment, scripting preference, and CI/CD integration needs.

Scalability testing gradually increases concurrent users or request volume while monitoring response times and system resources. This approach reveals the point where performance degrades, helping you understand capacity limits and plan infrastructure scaling before critical user demand arrives.

Run load tests for normal usage patterns, stress tests to find breaking points, spike tests for sudden traffic surges, endurance tests for sustained load over time, and scalability tests to validate growth capacity. This comprehensive approach catches different failure modes and validates reliability.