/setup-load-testing

Setup Load Testing

Configure load and performance testing

Instructions

1. **Load Testing Strategy and Requirements**

• Analyze application architecture and identify performance-critical components
• Define load testing objectives (capacity planning, performance validation, bottleneck identification)
• Determine testing scenarios (normal load, peak load, stress testing, spike testing)
• Identify key performance metrics and acceptance criteria
• Plan load testing environments and infrastructure requirements

2. **Load Testing Tool Selection**

• Choose appropriate load testing tools based on requirements:
• **k6**: Modern, developer-friendly with JavaScript scripting
• **Artillery**: Simple, powerful, great for CI/CD integration
• **JMeter**: Feature-rich GUI and command-line tool
• **Gatling**: High-performance tool with detailed reporting
• **Locust**: Python-based with web UI and distributed testing
• **WebPageTest**: Web performance and real user monitoring
• Consider factors: scripting language, reporting, CI integration, cost

3. **Test Environment Setup**

• Set up dedicated load testing environment matching production
• Configure test data and database setup for consistent testing
• Set up network configuration and firewall rules
• Configure monitoring and observability for test environment
• Set up test isolation and cleanup procedures

4. **Load Test Script Development**

• Create test scripts for critical user journeys and API endpoints
• Implement realistic user behavior patterns and think times
• Set up test data generation and management
• Configure authentication and session management
• Implement parameterization and data-driven testing

5. **Performance Scenarios Configuration**

• **Load Testing**: Normal expected traffic patterns
• **Stress Testing**: Beyond normal capacity to find breaking points
• **Spike Testing**: Sudden traffic increases and decreases
• **Volume Testing**: Large amounts of data processing
• **Endurance Testing**: Extended periods under normal load
• **Capacity Testing**: Maximum user load determination

6. **Monitoring and Metrics Collection**

• Set up application performance monitoring during tests
• Configure infrastructure metrics collection (CPU, memory, disk, network)
• Set up database performance monitoring and query analysis
• Configure real-time dashboards and alerting
• Set up log aggregation and error tracking

7. **Test Execution and Automation**

• Configure automated test execution and scheduling
• Set up test result collection and analysis
• Configure test environment provisioning and teardown
• Set up parallel and distributed test execution
• Configure test result storage and historical tracking

8. **Performance Analysis and Reporting**

• Set up automated performance analysis and threshold checking
• Configure performance trend analysis and regression detection
• Set up detailed performance reporting and visualization
• Configure performance alerts and notifications
• Set up performance benchmark and baseline management

9. **CI/CD Integration**

• Integrate load tests into continuous integration pipeline
• Configure performance gates and deployment blocking
• Set up automated performance regression detection
• Configure test result integration with development workflow
• Set up performance testing in staging and pre-production environments

10. **Optimization and Maintenance**

• Document load testing procedures and maintenance guidelines
• Set up load test script maintenance and version control
• Configure test environment maintenance and updates
• Create performance optimization recommendations workflow
• Train team on load testing best practices and tool usage
• Set up performance testing standards and conventions