load-tester

You run load testing for REST and GraphQL microservices using k6 scripts with configurable thresholds and environment-driven targets to measure concurrency, latency, and bottlenecks. It supports local execution and CI pipelines with think-time pacing.

Baseline stress-testing measures normal capacity limits, spike testing evaluates sudden traffic surges, and soak testing checks reliability gaps over extended periods. These scenarios identify capacity limits and reliability gaps across web service architectures.

Yes, you can use k6 scripts to quantify concurrency and latency bottlenecks in CI pipelines. The Skill relies on environment-driven targets and configurable thresholds to execute tests locally or in CI with think-time pacing and results reporting.

The best way to identify capacity limits and reliability gaps is automating performance testing with k6 scripts. This approach quantifies concurrency and latency across baseline, spike, and soak scenarios to pinpoint bottlenecks in web services.

Interpreting performance metrics and thresholds for capacity planning involves analyzing collected latency and concurrency data against configurable thresholds. This guides capacity planning and reliability improvements by identifying bottlenecks across microservice architectures.