Use cases - Distributed Load Testing on AWS

Use cases

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.