performance-testing

Spike and soak testing in k6 evaluates application load behavior under sudden traffic surges and sustained constant load. By applying scenario tagging and load profiles, you can identify performance bottlenecks and ensure stability during peak usage.

Yes, you can define custom metrics and scenario-based traffic mixes for backend load testing with k6. Setting load profiles like ramp and constant load allows you to measure specific application performance budgets and diagnose bottlenecks accurately.

The best way to gate performance before regressions ship is to establish measurable performance budgets and enforce them as CI gates. Using k6 and Lighthouse CI workflows ensures that both backend load and frontend metrics are validated against thresholds before deployment.

Yes, distinguishing lab versus field metrics is required for reliable bottleneck diagnosis and performance gating. Handling lab and field metrics properly ensures that your Core Web Vitals validation reflects both synthetic test conditions and actual user-perceived speed.

To design a performance test plan for critical user journeys, define k6 load profiles, Lighthouse CI assertions, and CI-ready thresholds. This establishes measurable performance targets and documents baseline performance for key application flows.