load-tester

Design an API load test by defining SLA thresholds, selecting a scenario like ramp-up or steady-state, and executing scripts using k6, Locust, or JMeter to measure P95/P99 latency and error rates under traffic.

Stress testing pushes systems beyond capacity to find breakpoints, spike testing simulates sudden traffic surges, and soak testing maintains steady traffic over time to reveal memory leaks and long-term performance degradation.

Yes, you can use k6 or Locust to execute standardized load tests that validate SLA thresholds and generate actionable bottleneck findings based on observed latency and error rates under varied traffic conditions.

Interpret P95 and P99 latency metrics from load tests by comparing them against predefined SLA thresholds to identify tail-end response delays, which indicate performance bottlenecks requiring scaling recommendations.

Plan a breakpoint scenario by progressively increasing traffic load until system failure, using standardized load testing scripts to observe scaling limits and generate actionable recommendations for improving application scalability.