performance-test

Automate API load and stress testing by generating scripts using k6, Locust, and JMeter to simulate traffic and validate p95/p99 latency, error rate, and throughput at target RPS. This avoids performance regressions by applying reusable templates to benchmark system reliability.

Soak tests evaluate system stability over extended periods, spike tests assess sudden traffic surges, and breakpoint tests identify maximum capacity. This Skill generates these scenarios to validate SLAs, track metrics, and compare baselines against realistic load patterns.

Yes, you can use k6 and Locust to generate load, stress, and soak tests that validate p95 and p99 latency. The Skill provides reusable patterns and templates to benchmark performance, track SLAs, and collect metrics for comprehensive API service validation.

Track SLAs and compare performance baselines by running automated load, stress, and soak tests using k6, JMeter, or Locust. The Skill applies reusable templates to benchmark performance, collect metrics on throughput and error rates, and report results against target RPS.

No, the Skill provides reusable templates and patterns to generate JMeter stress tests for scale without writing custom scripts from scratch. It automates end-to-end test generation to validate throughput, error rates, and latency under realistic load scenarios.

Error rates spike during stress testing because the system hits its breakpoint or fails to handle the target RPS. Running soak, spike, and breakpoint tests using k6 or Locust helps identify these capacity limits and validate if p95/p99 latency meets SLA requirements.