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Coursera

Master JMeter on Live Apps for Performance Testing

Packt via Coursera

Overview

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This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you will master JMeter for performance testing, learning how to effectively simulate real-world load on live applications. You will gain hands-on experience with JMeter’s diverse features, such as thread groups, assertions, and listeners, to accurately assess and improve application performance. By the end of the course, you will be able to design and execute complex performance tests using JMeter to gather critical metrics and improve application reliability under load. The course takes you step by step through the process, starting with installation and configuration of JMeter, followed by script recording, load application, and analyzing the performance metrics. You’ll also delve into advanced features like JMeter plugins, BeanShell scripting, and distributed testing, ensuring you are equipped to tackle real-world challenges. Key topics include understanding thread groups, cookie management, and leveraging the power of regular expressions and data-driven testing for dynamic scenarios. Ideal for testers, developers, or anyone responsible for performance testing, this course will teach you the essential skills to run effective performance tests. It assumes no prior experience with JMeter but requires basic understanding of testing concepts. The difficulty level is moderate, ensuring a balanced learning experience for anyone wanting to enhance their testing skills.

Syllabus

  • Introduction
    • In this module, we will introduce you to JMeter and its role in performance testing. You’ll learn about the unique benefits of JMeter compared to other tools, how to install and configure it, and gain an overview of the tool's interface and primary functionalities.
  • Recording JMeter Scripts
    • In this module, we will focus on recording application test scripts with JMeter. You’ll learn how to record, replay, and validate scripts, and how to integrate the BlazeMeter extension for Chrome to streamline script recording.
  • How to Put Load and Analyze Performance Metrics?
    • In this module, we will explore load testing with Thread Groups and learn how to monitor and analyze performance metrics. You’ll discover the use of Listeners to track results and understand their significance in gathering actionable insights.
  • Advanced Thread Group Methods for Real-Time Load with JMeter
    • In this module, we will cover advanced load testing techniques using JMeter plugins and Thread Groups. You’ll learn how to implement Concurrency and Ultimate Thread Groups for enhanced performance testing.
  • HTTP Cookie Manager to Capture Sessions
    • In this module, we will delve into the HTTP Cookie Manager, its role in managing user sessions, and its significance in JMeter tests. You’ll learn how to incorporate and configure the Cookie Manager for seamless test execution.
  • Assertions in JMeter
    • In this module, we will explore the use of assertions in JMeter to validate test execution. You’ll learn how to ensure accuracy and reliability by applying different types of assertions to your JMeter scripts.
  • JMeter Controllers for Module-wise Metrics
    • In this module, we will examine JMeter Controllers and their role in performance testing. You’ll learn to apply different controllers to measure and optimize application performance while gaining hands-on practice using a sample Webtours application.
  • Timers in JMeter
    • In this module, we will explore timers in JMeter and their role in performance testing. You’ll learn to implement timers like the Constant Throughput Timer to regulate load and mimic realistic user activity.
  • Importance of Regular Expressions in JMeter
    • In this module, we will focus on the importance of Regular Expression Extractors in JMeter. You’ll learn to use regular expressions for dynamic data handling through practical examples and efficient implementation techniques.
  • Data-driven Testing with JMeter
    • In this module, we will explore data-driven testing techniques in JMeter. You’ll learn how to create HTTP Request Samplers manually and implement data-driven testing for dynamic, robust test execution.
  • Introduction to BeanShell Scripting in JMeter
    • In this module, we will introduce BeanShell scripting and its applications in JMeter. You’ll learn how to incorporate scripting for conditional logic and access sampler results effectively.
  • Handling Dynamic Responses - Advanced JMeter
    • In this module, we will address handling dynamic responses in JMeter. You’ll learn how to create end-to-end test flows and implement correlation techniques using regular expressions for accurate testing.
  • JMeter Validations in Non-GUI Mode
    • In this module, we will focus on running and validating JMeter tests in non-GUI mode. You’ll learn essential commands, result monitoring techniques, and the benefits of cloud-based execution with BlazeMeter.
  • JMeter Distributed Mode in Running Tests in Slave Machines
    • In this module, we will discuss distributed load testing using JMeter. You’ll learn the importance of client-server architecture and how to run tests on slave machines to simulate large-scale load scenarios.
  • Monitoring Server Performance
    • In this module, we will explore server performance monitoring techniques in JMeter. You’ll learn the importance of tools like YourKit Profiler and analyze performance graphs to optimize server health under load conditions.

Taught by

Packt - Course Instructors

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