Quality Analysis | Performance Testing Basics by Jaspreet | Learn Smarter
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Performance Testing Basics

Performance Testing is a crucial non-functional testing technique focused on evaluating the behavior of systems under various workloads to ensure efficiency and reliability. It encompasses different testing types like Load Testing, Stress Testing, and Spike Testing, each targeting specific performance aspects. Tools like Apache JMeter facilitate the execution of these tests, allowing testers to analyze response times, throughput, and error rates effectively.

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Sections

  • 13

    Performance Testing Basics

    This section provides an overview of performance testing, its types, and tools, focusing specifically on JMeter.

    Learning Practice

  • 13.1

    Why Performance Testing?

    Performance testing evaluates system behavior under load to ensure efficiency, reliability, and compliance.

    Learning Practice

  • 13.2

    Types Of Performance Testing

    This section outlines the various types of performance testing techniques used to evaluate system behavior under different load conditions.

    Learning Practice

  • 13.3

    Introduction To Jmeter

    JMeter is an open-source tool for load testing and performance measurement, ideal for simulating user activity and analyzing application performance.

    Learning Practice

  • 13.4

    Simulating Users In Jmeter

    This section covers how to simulate users in JMeter effectively to conduct various performance testing scenarios.

    Learning Practice

  • 13.5

    Analyzing Response Time

    This section covers the importance of analyzing response time in performance testing by understanding key performance metrics.

    Learning Practice

  • 13.6

    Example Use Case

    This section illustrates the process of creating a performance testing scenario using JMeter, specifically focusing on a checkout flow for 200 users.

    Learning Practice

  • 13.7

    Summary

    Performance Testing evaluates how a system performs under various loads to ensure reliability and efficiency.

    Learning Practice

  • 13.2.1

    Load Testing

    Load testing assesses a system's performance under expected user loads to ensure it operates efficiently.

    Learning Practice

  • 13.2.2

    Stress Testing

    Stress testing evaluates a system’s performance under extreme conditions, ensuring it can handle more than its normal capacity.

    Learning Practice

  • 13.2.3

    Spike Testing

    Spike Testing evaluates a system's ability to handle sudden increases in traffic, ensuring performance under unexpected load conditions.

    Learning Practice

  • 13.3.1

    Why Use Jmeter?

    JMeter is an essential tool for performance testing, offering a user-friendly interface and robust functionality for simulating user loads and analyzing application performance.

    Learning Practice

  • 13.3.2

    Basic Components In Jmeter

    This section details the fundamental components of JMeter, which is essential for performance testing.

    Learning Practice

  • 13.4.1

    Thread Group Configuration

    Thread Group Configuration in JMeter is essential for simulating user behavior during performance testing.

    Learning Practice

  • 13.5.1

    Key Performance Metrics

    Key performance metrics are essential for evaluating the efficiency and reliability of a system during performance testing.

    Learning Practice

  • 13.5.2

    Common Listeners

    This section explains the various types of listeners in JMeter and their importance in analyzing performance testing results.

    Learning Practice

  • 13.6.1

    Test Checkout Flow For 200 Users

    This section outlines the approach to testing the checkout flow for 200 users, emphasizing performance metrics and the use of JMeter.

    Learning Practice

References

QA-chapter 13.pdf

Class Notes

Memorization

What we have learnt

  • Performance Testing helps t...
  • It is essential for validat...
  • Key performance metrics inc...

Final Test

Revision Tests

Chapter FAQs