# Best practices for performance testing

> Ensure test cases are robust, data-stable, and free from flakiness before scaling.

## 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.