Performance Testing
At AppTekLab, learning performance testing is critical for ensuring that software applications can handle varying workloads and operate optimally under varying conditions. This expertise helps testers to evaluate a system's scalability, dependability, and responsiveness, finding potential bottlenecks and vulnerabilities in applications before they effect users. Performance testing aids in optimizing resource utilization, lowering operational expenses, and improving the user experience. Professionals with proficiency in performance testing can simulate real-world conditions, such as heavy user loads and data volumes, to identify issues with response times, throughput, and resource utilization. Furthermore, this skill is highly appreciated in businesses such as e-commerce, finance, and gambling, where persistent high performance is crucial. Learning performance testing provides individuals with a specialized skill set that not only ensures the dependability of software systems.
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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
