/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