performance-testing

To find bottlenecks, you run stress testing by defining load stages and enforcing latency thresholds. This process validates API reliability under traffic spikes and iteratively investigates slow endpoints across databases and compute resources.

Stress testing evaluates breaking points, spike testing simulates sudden traffic surges, and soak testing assesses long-running usage. These performance testing types validate system reliability under different load conditions and traffic patterns.

k6 load testing enforces latency thresholds by defining p(95) latency and failure-rate targets within test scripts. This prevents performance regressions by failing test runs when response times exceed established limits.

Yes, performance testing validates web services and their dependencies by analyzing bottlenecks across endpoints, databases, compute resources, and external services. It supports an iterative investigation workflow to resolve slow endpoints.

Stress testing bottleneck analysis uses an iterative investigation workflow across endpoints, databases, CPU, memory, and external service latency. This turns slow endpoints into actionable root causes for targeted system optimization.