This content originally appeared on DEV Community and was authored by Eliana Lam
Luis Guirigay @ AWS Amarathon 2025
Testing Categories:
Code Testing: Code Analysis, Unit Testing
Integration & Interface: Contract Testing, Interface Testing
Functional: User Acceptance, Regression Testing
Non-Functional: Performance Testing, Chaos Engineering
End-to-end Testing: Comprehensive testing covering all aspects
Performance Metrics:
Load: System performance under expected usage
Stress: Evaluate system behavior under extreme load conditions
Endurance: Sustained load testing to identify long-term issues
Scalability: Measuring performance under growing user/transaction volume
Spike: Rapidly increasing or decreasing load to assess resilience and behavior
Volume: Evaluates the impact of handling large amounts of data
Measurement Criteria:
Percentiles: 50th, 90th, 95th, 99th, 99.9th, 100th
Counts & Averages: Total Transactions, Success, Failures, Response Times, Latency, Connection Time, Bandwidth
Errors: All errors, prioritize critical
Resources: CPU usage, Memory consumption, Disk I/O, Network Traffic
Testing Strategies:
Early: Incorporate testing early in the development lifecycle
After: Testing post-infrastructure changes
Always: Continuous testing throughout the development process
Development: Testing integrated into the development workflow
Infrastructure Changes: Testing following any infrastructure modifications
Staging: Testing in a staging environment before production
Major Events: Testing prior to significant system events
Post-Production: Post-deployment performance validation
Milestones: Testing at specific project milestones
Benefits:
Efficiency: Improved system efficiency
Reliability: Enhanced system reliability
Better User Experience: Superior user experience through optimized performance
Scalability: Improved system scalability
Cost Optimization: Reduced costs through optimized resource utilization
Amazon Web Services Solutions:
1M+ Deployments: Extensive deployment experience
Vetted, Supported: Thoroughly vetted and professionally supported solutions
Solutions Library: Comprehensive library of vetted solutions
Pay for what you use: Flexible pricing model based on usage
Single Tenant: Solutions designed for single tenant environments
100% Open Source: Commitment to open source solutions
This content originally appeared on DEV Community and was authored by Eliana Lam
Eliana Lam | Sciencx (2025-11-29T07:39:55+00:00) Architecting for Efficiency and Reliability with Performance Testing at Scale. Retrieved from https://www.scien.cx/2025/11/29/architecting-for-efficiency-and-reliability-with-performance-testing-at-scale/
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