Description

Training Introduction:

The course “Performance Testing with JMeter: Ensuring Web Application Scalability” is designed to provide participants with an in-depth understanding of performance testing and the tools required to ensure web application scalability. Apache JMeter is a powerful open-source tool used to measure the performance of web applications by simulating a variety of load scenarios.

This course covers the fundamentals of performance testing, setting up and using JMeter, building effective test plans, analyzing performance results, and identifying performance bottlenecks. The training is ideal for professionals looking to ensure their applications can handle increased traffic and scale efficiently, especially in high-demand environments. By the end of this course, participants will be proficient in creating, executing, and analyzing performance test cases using JMeter.

Prerequisites:

• Basic knowledge of web applications and their architecture.
• Familiarity with HTTP/HTTPS protocols and web development basics.
• No prior experience with JMeter is required, but having some experience with manual or functional testing is beneficial.

Table of Content:

Module 1: Introduction to Performance Testing

1. What is Performance Testing?
2. Importance of Performance and Scalability in Web Applications
3. Types of Performance Testing: Load, Stress, Endurance, and Spike Testing
4. Introduction to JMeter as a Performance Testing Tool

Module 2: Getting Started with Apache JMeter

1. Downloading and Installing JMeter
2. JMeter Architecture and Components
3. Overview of JMeter User Interface
4. Running Your First JMeter Test

Module 3: Building Test Plans in JMeter

1. Introduction to JMeter Test Plans
2. Thread Groups: Simulating Users and Load
3. Samplers: HTTP Requests, FTP Requests, and More
4. Configuring Listeners for Test Result Collection
5. Controllers: Logic Controllers and Flow Control

Module 4: Advanced JMeter Elements

1. Configuring Timers, Assertions, and Pre/Post Processors
2. Using Regular Expressions for Dynamic Test Cases
3. Parameterization: Passing Data from Files and Variables
4. Handling Dynamic Web Pages with JMeter

Module 5: Load Testing with JMeter

1. Simulating Real-World Traffic: User Ramp-Up, Think Time, and Looping
2. Designing Load Test Scenarios for Web Applications
3. Executing Load Tests and Monitoring Application Behavior
4. Identifying Performance Bottlenecks with JMeter

Module 6: Stress Testing and Performance Metrics

1. Setting Up and Running Stress Tests
2. Interpreting Performance Metrics (Response Time, Throughput, Error Rate)
3. Analyzing Resource Utilization: CPU, Memory, and Network Usage
4. Benchmarking Application Performance under Stress

Module 7: Distributed Testing with JMeter

1. Introduction to Distributed Load Testing
2. Setting Up JMeter in a Distributed Environment (Master-Slave Configuration)
3. Running Large-Scale Performance Tests with Multiple Machines
4. Best Practices for Distributed Load Testing

Module 8: Analyzing and Reporting Test Results

1. Using JMeter Listeners for Result Collection
2. Analyzing Response Time, Latency, and Throughput
3. Generating HTML Reports for Performance Testing
4. Interpreting Test Results and Making Recommendations

Module 9: JMeter Integration with Other Tools

1. Integrating JMeter with Jenkins for Continuous Integration
2. Using JMeter with Grafana and InfluxDB for Real-Time Monitoring
3. Combining JMeter with Other Testing Tools (Selenium for UI Testing)

Module 10: Enhancing JMeter Test Plans

1. Working with APIs and Web Services in JMeter (SOAP, REST)
2. Handling Authentication (Basic, OAuth, Token-Based)
3. Load Testing Databases with JMeter
4. Performance Testing Mobile Applications with JMeter

Module 11: Best Practices for Performance Testing

1. Designing Effective Test Scenarios
2. Setting Realistic Load and Performance Targets
3. Using Assertions and Timers for Accurate Measurements
4. Scaling Your Test Environment for Large-Scale Testing

Module 12: Final Project and Case Study

1. Real-World Case Study: Performance Testing of a Web Application
2. Developing and Executing a Load and Stress Test Plan
3. Identifying Performance Issues and Bottlenecks
4. Presenting Findings and Performance Recommendations