load-testing

To simulate 1000 users in a load test, configure scenarios with ramp-up, hold, and ramp-down stages using k6 or Locust to verify API response times remain below your defined p99 latency thresholds.

The best way to identify application capacity limits and breaking points is by running spike testing under various load conditions to determine maximum throughput and observe when the system fails.

Yes, you can integrate load testing into your CI pipeline for automated performance regression by executing k6 or Locust scripts that enforce error rate thresholds during continuous integration builds.

Spike testing finds system breaking points under stress by abruptly increasing virtual users to extreme levels, allowing you to observe how the application behaves and where it ultimately fails under sudden load.

You can use either k6 or Locust to establish a performance baseline by executing defined workload scenarios, measuring p99 latency and error rates, and referencing established patterns for your application.