Performance testing assesses a software application or system's speed, responsiveness, stability, and scalability in diverse conditions. Its primary goal is to guarantee the application's optimal performance and fulfillment of user expectations under varying loads and stress levels.
Performance Testing is crucial for ensuring reliable, efficient, and high-performing software applications that align with user expectations, business needs, and industry standards. It serves as a proactive measure to prevent performance issues and ensures optimal application performance across different conditions.
Optimal performance testing occurs throughout the software development life cycle (SDLC), ideally commencing in the early stages and persisting through development, preceding scaling and release, during load testing, after code modifications, within CI/CD pipelines, prior to critical events, after infrastructure adjustments, and periodically in production.
1. Record Scenarios 2. Script Parameterization 3. Group/Thread Scenarios 4. Create load Scenarios 5. Execution 6. Analyze test results 7. Report Generation
1. Response Time: Test failure if the average response time exceeds the threshold. 2. Error Rate: Test failure if rate exceeds acceptable percentage. 3. Throughput: Test failure if below the expected level. 4. System Resource Utilization: Test failure if critical system resources near maximum.
1. Response Time Analysis: Identify high response time transactions for improvement. 2. Resource Utilization: Analyze peak load system resource usage to pinpoint resource-hungry components. 3. Error Analysis: Identify error types and frequency to assess performance impact.