Description : To evaluate the performance, load handling, and scalability of the system. While single-user interactions are expected per device, performance benchmarks will be established to ensure the system operates efficiently under defined conditions.

Created By : qa-lead@example.com

Created At : 2024-11-01

Test Execution Steps

1. Define Performance Metrics

Establish performance benchmarks to evaluate system behavior, including:

• Response Time: Measure the time taken for API endpoints to respond under normal and peak load conditions.
• Throughput: Assess the number of transactions or API requests handled per second.
• Error Rate: Monitor the frequency of failed API requests during testing.
• Endurance Testing: Evaluate the system's stability and reliability under prolonged usage.
• Resource Utilization: Analyze CPU, memory, and network usage during testing.

2. Create Test Scenarios

Design realistic scenarios for single-user interactions and simulated load testing to identify performance bottlenecks.

• Include scenarios to validate system behavior during:
  • Normal operations.
  • Simulated load spikes (e.g., multiple device interactions over a short period).
  • Extended usage periods to test endurance.

3. Test Environment Setup

• Environment: Replicate the production environment for accurate results.
• Tools: Utilize the performance testing tool JMeter to simulate load and monitor metrics.

4. Execute Performance Tests

• Perform baseline tests to measure system performance under single-user interactions.
• Gradually increase the load to identify performance thresholds.
• Conduct endurance tests to evaluate stability and resource utilization over time.

5. Analyze Results

• Compare test results against performance benchmarks.
• Identify deviations, bottlenecks, and potential areas for optimization.
• Document findings for further investigation and resolution.

6. Recommendation Based on Findings

• If benchmarks are met: Confirm system readiness and proceed to documentation.
• If benchmarks are not met: Log identified issues, recommend optimizations, and perform retesting after adjustments.

Documentation

Document test results, including:

• Response times across different loads.
• Throughput and error rates.
• Resource utilization trends.
• Observations during endurance testing.

Tools Utilized

• JMeter: For performance and load testing.
• System Monitoring Tools: For tracking CPU, memory, and network usage.

Performance Metrics

Deliverables

• Performance Benchmarks: Baseline and target metrics for system evaluation.
• Performance Test Report: Comprehensive summary of test results, observations, and recommendations.