AWS solutions documentation change
Summary
Updated use case titles and descriptions to refine focus areas (e.g., renamed 'Simulate Production Load' to 'Pre-Production Validation', added 'Third-Party Service Testing', expanded explanations for capacity planning and regression testing)
Security assessment
The changes are editorial improvements to clarify testing scenarios and use cases, but do not address security vulnerabilities, security features, or security-specific guidance. Modifications focus on performance testing, scalability, and integration workflows without mentioning security controls, vulnerabilities, or mitigations.
Diff
diff --git a/solutions/latest/distributed-load-testing-on-aws/use-cases.md b/solutions/latest/distributed-load-testing-on-aws/use-cases.md index ce76ffa51..8741a1218 100644 --- a//solutions/latest/distributed-load-testing-on-aws/use-cases.md +++ b//solutions/latest/distributed-load-testing-on-aws/use-cases.md @@ -7 +7 @@ -**Simulate Production Load** +**Pre-Production Validation** @@ -9 +9 @@ -Test web and mobile applications under production-like conditions before launching a new version. +Test web and mobile applications under production-like load conditions before launching a new version to validate performance and identify issues. @@ -11 +11 @@ Test web and mobile applications under production-like conditions before launchi -**Validate Application Performance** +**Capacity Planning** @@ -13 +13 @@ Test web and mobile applications under production-like conditions before launchi -Ensure your application can handle expected user traffic without degradation. Test application limits using default resources and assess infrastructure scalability. +Determine the maximum number of concurrent users your application can support with current infrastructure and identify when scaling is required. @@ -15 +15 @@ Ensure your application can handle expected user traffic without degradation. Te -**Manage Peak Loads** +**Peak Load Verification** @@ -17 +17 @@ Ensure your application can handle expected user traffic without degradation. Te -Verify that your infrastructure can manage peak loads or unexpected traffic spikes, ensuring stability under high demand. +Verify that your infrastructure can handle peak loads, seasonal traffic spikes, or unexpected surges in demand without performance degradation. @@ -19 +19 @@ Verify that your infrastructure can manage peak loads or unexpected traffic spik -**Optimize Performance** +**Performance Optimization** @@ -21 +21 @@ Verify that your infrastructure can manage peak loads or unexpected traffic spik -Understand your application’s performance profile and identify bottlenecks such as inefficient code execution, database queries, and network latency. +Identify performance bottlenecks such as slow database queries, inefficient code execution, network latency, or resource constraints. @@ -23 +23 @@ Understand your application’s performance profile and identify bottlenecks suc -**Quick Testing Start-Up** +**Regression Testing** @@ -25 +25 @@ Understand your application’s performance profile and identify bottlenecks suc -Begin testing quickly with out-of-the-box performance tests. +Schedule recurring load tests to detect performance regressions introduced by new code deployments or infrastructure changes. @@ -27 +27 @@ Begin testing quickly with out-of-the-box performance tests. -**Customizable Tests** +**Global Performance Assessment** @@ -29 +29 @@ Begin testing quickly with out-of-the-box performance tests. -Tailor tests to specific scenarios and requirements, adjusting the number of concurrent users and tasks launched. +Evaluate application performance from multiple geographic regions to ensure consistent user experience for a global audience. @@ -31 +31 @@ Tailor tests to specific scenarios and requirements, adjusting the number of con -**Scheduled Testing** +**API Load Testing** @@ -33 +33 @@ Tailor tests to specific scenarios and requirements, adjusting the number of con -Schedule tests for regression testing and continuous performance monitoring, ensuring consistent application performance. +Test REST APIs, GraphQL endpoints, or microservices to validate response times, throughput, and error rates under load. @@ -35 +35 @@ Schedule tests for regression testing and continuous performance monitoring, ens -**Geographical Performance Evaluation** +**CI/CD Pipeline Integration** @@ -37 +37 @@ Schedule tests for regression testing and continuous performance monitoring, ens -Evaluate application performance across different geographical regions to ensure global efficiency. +Integrate automated performance testing into continuous integration and deployment pipelines to catch performance issues early in the development cycle. @@ -39 +39 @@ Evaluate application performance across different geographical regions to ensure -**CI/CD Pipeline Integration** +**Third-Party Service Testing** @@ -41 +41 @@ Evaluate application performance across different geographical regions to ensure -Integrate performance testing into your CI/CD pipeline for seamless and automated testing during development cycles. +Test the performance and reliability of third-party APIs or services that your application depends on under various load conditions.