Load & Performance Testing Skill

Load testing and stress testing for Go APIs is executed through structured k6 scripts and Go benchmarks to simulate concurrent users and extreme conditions, revealing system bottlenecks and validating resilience. This isolates test configurations to ensure repeatable performance measurements.

Baseline performance benchmarks for data-processing pipelines are established by running isolated Go benchmarks to quantify code paths and database interactions. This generates baseline performance figures needed to set clear performance budgets for CI/CD workflows.

Yes, you can use k6 for capacity planning and validating API performance under real traffic by simulating realistic load scenarios. This verifies CI readiness and measures how background services handle concurrent users across various resilience conditions.

Memory and CPU profiling validates performance improvements during benchmark tests by capturing isolated resource usage metrics under structured load. This quantifies exactly how code changes affect baseline performance and verifies optimizations against established performance budgets.

Yes, this load testing approach works for CI/CD workflows and background services by enforcing repeatable test configurations and clear performance budgets. It systematically validates API endpoints and background services across baseline, capacity planning, and resilience scenarios.