Course Duration: 8 weeks (2-3 hours per week)

Module 1: Introduction to Performance Testing

  • Overview of performance testing and its importance
  • Understanding the goals and objectives of performance testing
  • Introduction to performance testing tools and frameworks
  • Differentiating between performance testing, load testing, and stress testing

Module 2: Performance Testing Process

  • Understanding the performance testing process and lifecycle
  • Identifying performance testing requirements and success criteria
  • Creating a performance testing plan and strategy
  • Defining performance test scenarios and workloads

Module 3: Performance Testing Types

  • Overview of different types of performance testing (load testing, stress testing, scalability testing, endurance testing)
  • Understanding the objectives and focus areas of each type of performance testing
  • Choosing the appropriate type of performance testing for different scenarios

Module 4: Performance Testing Tools

  • Overview of popular performance testing tools (JMeter, LoadRunner, Gatling, Apache Benchmark)
  • Setting up and configuring performance testing environments with different tools
  • Exploring features and capabilities of performance testing tools
  • Selecting the right tool for specific performance testing requirements

Module 5: Load Generation and Virtual User Behavior

  • Understanding load generation and virtual user behavior
  • Creating realistic load scenarios and user profiles
  • Defining transaction mixes and user flows for performance tests
  • Simulating user behavior with different load patterns

Module 6: Performance Metrics and KPIs

  • Introduction to performance metrics and key performance indicators (KPIs)
  • Understanding common performance metrics (response time, throughput, CPU utilization, memory usage)
  • Defining performance goals and thresholds based on KPIs
  • Monitoring and analyzing performance metrics during test execution

Module 7: Test Execution and Analysis

  • Executing performance tests using performance testing tools
  • Analyzing test results and performance metrics
  • Identifying performance bottlenecks and issues
  • Correlating performance test results with system resource utilization

Module 8: Performance Test Reporting and Documentation

  • Generating performance test reports and summaries
  • Documenting performance test results, findings, and recommendations
  • Communicating performance test results to stakeholders effectively
  • Creating performance test artifacts for future reference and analysis

Module 9: Performance Test Planning and Design

  • Planning performance test scenarios and workloads
  • Designing performance test scripts and scenarios
  • Implementing data-driven testing and parameterization in performance tests
  • Defining performance test objectives and success criteria

Module 10: Performance Test Automation

  • Introduction to performance test automation
  • Automating performance test scripts and scenarios
  • Integrating performance testing into continuous integration and delivery (CI/CD) pipelines
  • Implementing performance test automation best practices

Module 11: Performance Tuning and Optimization

  • Identifying performance bottlenecks and root causes
  • Performance tuning techniques (caching, indexing, code optimization)
  • Implementing performance optimizations based on test findings
  • Validating performance improvements through retesting

Module 12: Performance Testing in Agile and DevOps Environments

  • Integrating performance testing into Agile development methodologies
  • Conducting performance testing in continuous integration and delivery (CI/CD) pipelines
  • Implementing performance testing as part of DevOps practices
  • Adapting performance testing processes for Agile and DevOps environments

Module 13: Performance Testing Best Practices

  • Best practices for designing, executing, and analyzing performance tests
  • Implementing performance testing standards and guidelines
  • Collaborating with development and operations teams for effective performance testing
  • Continuous improvement and optimization of performance testing processes

Module 14: Advanced Performance Testing Topics

  • Exploring advanced topics in performance testing (cloud-based performance testing, distributed load testing, mobile performance testing)
  • Understanding emerging trends and technologies in performance testing
  • Case studies and real-world examples of performance testing implementations
  • Q&A session and discussion on performance testing challenges and solutions

Module 15: Capstone Project

  • Students will work on a capstone project to apply the skills learned throughout the course
  • Project topics may include designing and executing performance tests for a sample application, analyzing performance test results, and making recommendations for performance improvements

Assessment:

  • Assignments and quizzes after each module
  • Mid-term and final exams covering the entire syllabus
  • Evaluation of the capstone project

Prerequisites:

  • Basic understanding of software testing concepts and methodologies
  • Familiarity with performance testing tools and frameworks (preferred but not required)