load-test-builder

You can generate k6 load testing scripts to simulate normal, high, spike, and soak traffic scenarios. This allows you to validate API performance under expected user loads and identify system bottlenecks before they impact production users.

Automating stress testing within a CI pipeline involves defining custom metrics and thresholds to act as performance gating. By generating scripts with k6, Artillery, or autocannon, you can ensure system validation occurs automatically during deployment.

Yes, you can simulate different load patterns including spike and soak testing with Artillery. This facilitates system validation under various traffic conditions by defining realistic user journeys and setting performance thresholds for error rates and latency.

Setting performance thresholds and custom metrics for stress testing involves defining specific performance goals within your testing scripts. You can track key metrics like latency and error rates to ensure your system handles target requests per second without exceeding response limits.

Yes, this load testing approach supports autocannon for high traffic simulation. It enables you to define realistic user journeys and track key metrics, ensuring your system handles expected traffic and identifies bottlenecks under heavy load.

You need to run stress testing instead of normal load testing when validating system behavior under extreme or sustained high traffic conditions. Stress testing pushes your system beyond expected limits to identify breaking points and bottlenecks before they impact users.