Best practices for performance testing
Design reliable test automations
Ensure test cases are robust, data-stable, and free from flakiness before scaling.
Choose ramp-up and duration strategies
Use gradual ramp-up to simulate realistic traffic and avoid unrealistically long or short peak phases.
Handle test data at scale
Prepare parametrized datasets (via Data Fabric) to avoid duplicate inputs that could skew results.
Avoid common pitfall
- Ensure there are sufficient infrastructure resources.
- Validate tests locally before publishing.
- Use the latest package versions.