Performance Testing
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Course Includes
- Understanding Performance Testing
- Definition and importance
- Key goals and objectives
- Types of Performance Testing
- Load testing
- Stress testing
- Endurance testing
- Scalability testing
- Performance Testing Life Cycle
- Planning, preparation, execution, analysis, and reporting
- Performance Metrics
- Response time
- Throughput
- Utilization
- Performance Testing Terminology
- Transactions per second (TPS)
- Virtual Users (VUs)
- Hits per second
- Common Performance Issues
- Bottlenecks
- Resource contention
- Memory leaks
- Defining Performance Requirements
- Collaboration with stakeholders
- Setting performance goals
- Test Environment Setup
- Hardware and software considerations
- Network configuration
- Test Data Preparation
- Identifying realistic test data
- Ensuring data consistency
- Introduction to Performance Testing Tools
- JMeter, LoadRunner, Gatling, etc.
- Criteria for selecting the right tool
- Setting Up a Performance Test Environment
- Installing and configuring the selected tool
- Integrating with development and testing environments
- Scripting for Performance Tests
- Recording and enhancing scripts
- Parameterization and correlation
- Load Testing Basics
- Simulating realistic user loads
- Measuring system behavior under load
- Load Test Scenarios
- Ramp-up scenarios
- Stress testing scenarios
- Monitoring and Analyzing Load Test Results
- Identifying performance bottlenecks
- Analyzing response time and throughput
- Understanding Stress Testing
- Purpose and goals
- Identifying system breakpoints
- Stress Test Scenarios
- Beyond normal load conditions
- Evaluating system behavior under stress
- Stress Testing Analysis
- Interpreting results
- Planning for system improvements
- Endurance Testing Overview
- Ensuring system stability over an extended period
- Identifying memory leaks and resource exhaustion
- Endurance Test Scenarios
- Prolonged user activity simulation
- Monitoring system resources during long-duration tests
- Analyzing Endurance Test Results
- Identifying performance degradation over time
- Making recommendations for system improvements
- Scalability Testing Concepts
- Evaluating system capacity to handle growth
- Planning for future scaling needs
- Scalability Test Scenarios
- Vertical and horizontal scaling scenarios
- Analyzing system performance under different scaling conditions
- Scalability Testing Analysis
- Interpreting results for scalability improvements
- Recommendations for optimizing scalability
- Real-time Monitoring
- Using performance monitoring tools
- Identifying issues during live system operation
- Performance Tuning
- Optimizing code and configurations
- Addressing bottlenecks and improving resource usage
- Documentation Best Practices
- Documenting test scenarios, scripts, and results
- Creating a knowledge repository for future reference
- Real-world Performance Testing Case Studies
- Reviewing successful performance testing projects
- Learning from challenges and solutions
- Best Practices in Performance Testing
- Strategies for effective performance testing
- Continuous improvement in performance testing processes
- Latest Developments in Performance Testing
- AI and machine learning in performance testing
- Integration with DevOps and CI/CD pipelines
- Future of Performance Testing
- Predicting and preparing for evolving testing trends
- Continuous learning and staying updated
