Course Title: Performance Testing with JMeter and LoadRunner
Course Overview:
This course is designed to provide a thorough understanding of performance testing concepts, techniques, and tools like JMeter and LoadRunner. Students will learn to design, execute, and analyze performance tests, ensuring they can optimize system performance under varying load conditions.

Module 1: Introduction to Performance Testing
Lesson 1.1: Overview of Software Testing
Types of Testing: Functional vs. Non-Functional
Importance of Performance Testing in the SDLC
Key Performance Metrics (Throughput, Latency, Response Time, etc.)
Lesson 1.2: Types of Performance Tests
Load Testing
Stress Testing
Spike Testing
Endurance Testing
Scalability Testing
Lesson 1.3: Key Performance Testing Concepts
Bottlenecks and their Identification
System Behavior under Load
Performance Baselines and Benchmarks
Module 2: Introduction to JMeter
Lesson 2.1: Getting Started with JMeter
JMeter Overview and Architecture
Installation and Setup
The JMeter Interface: Test Plan, Thread Groups, Samplers, Listeners, etc.
Lesson 2.2: Scripting in JMeter
Creating Test Plans
Configuring Thread Groups
Adding Samplers (HTTP Requests, FTP Requests, etc.)
Using Timers and Logic Controllers
Lesson 2.3: Parameterization and Correlation
Data-Driven Testing: Using CSV Data Set Config
Handling Dynamic Data with Regular Expressions
Correlating Dynamic Responses in JMeter Scripts
Lesson 2.4: Result Analysis and Reporting
Using Listeners for Test Results (Graph Results, View Results Tree, etc.)
Analyzing Performance Metrics (Response Time, Throughput, etc.)
Generating and Interpreting JMeter Reports
Module 3: Advanced JMeter Features
Lesson 3.1: Distributed Testing with JMeter
Overview of Distributed Load Testing
Configuring Master-Slave Setup
Running Distributed Tests and Analyzing Results
Lesson 3.2: Scripting Advanced Scenarios
Implementing Conditional Logic (If Controllers, While Controllers)
Using Assertions to Validate Test Responses
Creating Custom Functions with JMeter
Lesson 3.3: Performance Tuning in JMeter
Optimizing JMeter for Large Tests
Resource Management During Load Testing
Best Practices for Efficient Test Scripts
Module 4: Introduction to LoadRunner
Lesson 4.1: Getting Started with LoadRunner
Overview of LoadRunner and its Architecture
LoadRunner Components (Virtual User Generator, Controller, Analysis)
Installing and Configuring LoadRunner
Lesson 4.2: Scripting in LoadRunner
Introduction to VuGen (Virtual User Generator)
Recording HTTP and Web Services Scripts
Parameterization and Correlation in LoadRunner Scripts
Lesson 4.3: Creating Performance Test Scenarios in LoadRunner
Configuring LoadRunner Controller
Setting Up Load and Stress Test Scenarios
Managing Vuser Scripts and Load Scenarios
Module 5: Analyzing and Interpreting Results
Lesson 5.1: LoadRunner Results and Reporting
Introduction to LoadRunner Analysis
Key Metrics (Response Time, Throughput, Hits Per Second, etc.)
Generating LoadRunner Reports and Graphs
Lesson 5.2: Identifying Bottlenecks and Optimizing Performance
Analyzing Resource Utilization (CPU, Memory, Disk, Network)
Identifying and Resolving Performance Bottlenecks
Tuning System Performance Based on Results
Module 6: Real-World Performance Testing Scenarios
Lesson 6.1: End-to-End Performance Testing Lifecycle
Defining Test Requirements and KPIs
Designing Test Plans and Test Scripts
Executing Tests and Monitoring System Behavior
Lesson 6.2: Performance Testing for Web Applications
Testing HTTP(S) Protocols and Web Applications
Analyzing Web Server Logs
Optimizing Web Server and Application Performance
Lesson 6.3: Performance Testing for APIs and Microservices
Testing REST and SOAP APIs
Load Testing Web Services
Handling API Rate Limits and Authentication
Lesson 6.4: Performance Testing in Cloud Environments
Using Cloud Load Testing Tools (e.g., BlazeMeter with JMeter)
Performance Testing in AWS, Azure, Google Cloud
Configuring Cloud-Based Load Testing for Scalability
Module 7: Advanced Topics and Tools Integration
Lesson 7.1: Integrating JMeter with CI/CD
Running JMeter Tests in Jenkins and GitLab CI
Automating Load Testing as Part of CI Pipeline
Lesson 7.2: Integrating LoadRunner with Other Tools
Integrating LoadRunner with Application Performance Monitoring (APM) Tools (Dynatrace, New Relic)
Integrating with JIRA for Defect Tracking
Lesson 7.3: Performance Monitoring and Tuning
Real-Time Monitoring during Load Tests
Optimizing Web Servers, Databases, and Application Servers
Module 8: Final Project and Certification
Lesson 8.1: Real-World Performance Testing Project
Students will design, execute, and analyze a full-scale performance test using JMeter or LoadRunner on a web application or API.
Focus on test planning, execution, and report creation.
Lesson 8.2: Review and Certification
Final review of key concepts and tools
Hands-on assessment and project review
Awarding of course completion certificate
Learning Outcomes:
By the end of this course, students will:

Understand the core concepts of performance testing and its importance in the software development lifecycle.
Be proficient in using JMeter and LoadRunner for creating and executing performance tests.
Be able to identify performance bottlenecks and optimize systems for improved performance.
Have hands-on experience in scripting, scenario design, and result analysis using both JMeter and LoadRunner.
Be prepared to handle real-world performance testing challenges in both development and production environments.