This paper focuses on ensuring system reliability during peak-demand events through advanced performance engineering. Page 1 underscores business risks of slowdowns and outages. It describes load testing, stress testing, scalability analysis, and root-cause diagnostics across distributed architectures. Visual diagrams show typical bottlenecks in API calls, databases, and frontend tiers. Recommendations include early performance modeling, virtualized test environments, and continuous testing integrated into CI/CD. The paper emphasizes designing for elasticity, validating third-party services, and using analytics to tune systems before peak periods. Outcomes include improved user experience, stability, and predictable scaling.

Join for free to read