# Use cases
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 **Pre-Production Validation** 

Test web and mobile applications under production-like load conditions before launching a new version to validate performance and identify issues.

 **Capacity Planning** 

Determine the maximum number of concurrent users your application can support with current infrastructure and identify when scaling is required.

 **Peak Load Verification** 

Verify that your infrastructure can handle peak loads, seasonal traffic spikes, or unexpected surges in demand without performance degradation.

 **Performance Optimization** 

Identify performance bottlenecks such as slow database queries, inefficient code execution, network latency, or resource constraints.

 **Regression Testing** 

Schedule recurring load tests to detect performance regressions introduced by new code deployments or infrastructure changes.

 **Global Performance Assessment** 

Evaluate application performance from multiple geographic regions to ensure consistent user experience for a global audience.

 **API Load Testing** 

Test REST APIs, GraphQL endpoints, or microservices to validate response times, throughput, and error rates under load.

 **CI/CD Pipeline Integration** 

Integrate automated performance testing into continuous integration and deployment pipelines to catch performance issues early in the development cycle.

 **Third-Party Service Testing** 

Test the performance and reliability of third-party APIs or services that your application depends on under various load conditions.