Performance testing basics in Testing Fundamentals - Framework Patterns

Framework Mode - Performance testing basics

Folder Structure for Performance Testing Project

performance-testing-project/
├── scripts/               # Load and stress test scripts
│   ├── login_test.jmx    # Example JMeter script
│   ├── api_load_test.js  # Example k6 script
│   └── user_scenario.js  # Custom user flow scripts
├── results/               # Test run results and reports
│   ├── 2024-06-01_report.html
│   └── 2024-06-01_metrics.json
├── config/                # Configuration files for environments and test parameters
│   ├── environments.yaml
│   └── test_settings.json
├── utils/                 # Helper scripts for data generation, parsing results
│   └── data_generator.py
├── ci/                    # CI/CD pipeline scripts for performance tests
│   └── run_performance_tests.yml
└── README.md              # Project overview and instructions
  

Performance Test Framework Layers

• Test Scripts Layer: Contains the actual performance test scripts that simulate user actions or API calls. Examples: JMeter .jmx files, k6 JavaScript scripts.
• Configuration Layer: Holds environment details (URLs, credentials), test parameters (number of users, duration), and thresholds for pass/fail criteria.
• Utility Layer: Helper code for preparing test data, parsing test results, or generating reports.
• Results Layer: Stores raw and processed test results, logs, and reports for analysis.
• CI/CD Integration Layer: Scripts and configuration to run performance tests automatically in pipelines and publish results.

Configuration Patterns in Performance Testing

• Environment Config: Use YAML or JSON files to define URLs, ports, and credentials for different environments (dev, staging, production).
• Test Parameters: Define user load, ramp-up time, test duration, and thresholds in separate config files to easily adjust without changing scripts.
• Data Management: Use external CSV or JSON files for test data inputs to simulate realistic user behavior.
• Parameterization: Scripts should read config values dynamically to support multiple environments and test scenarios.

Test Reporting and CI/CD Integration

• Reporting: Generate human-readable HTML or PDF reports summarizing response times, throughput, errors, and resource usage.
• Metrics: Collect detailed metrics like average response time, 95th percentile, error rates, and system resource consumption.
• Alerts: Set thresholds to mark tests as pass or fail based on performance goals.
• CI/CD Integration: Automate performance tests in pipelines using scripts (e.g., GitHub Actions, Jenkins). Publish reports as pipeline artifacts or dashboards.

Best Practices for Performance Testing Frameworks

• Keep Tests Maintainable: Separate test logic from configuration to easily update load profiles or environments.
• Use Realistic Scenarios: Simulate real user behavior and data to get meaningful results.
• Automate Reporting: Automatically generate and archive reports for easy comparison over time.
• Integrate Early: Run performance tests regularly in CI/CD to catch issues early.
• Monitor System Resources: Combine performance tests with system monitoring to understand bottlenecks.

Self Check Question

Where in this folder structure would you add a new test script to simulate a user login scenario?

Key Result

Organize performance tests with clear layers: scripts, config, utilities, results, and CI/CD integration for maintainability and automation.