Book Image

Master Apache JMeter - From Load Testing to DevOps

By : Antonio Gomes Rodrigues, Bruno Demion (Milamber), Philippe Mouawad
Book Image

Master Apache JMeter - From Load Testing to DevOps

By: Antonio Gomes Rodrigues, Bruno Demion (Milamber), Philippe Mouawad

Overview of this book

Load tests help identify the maximum number of requests a software system can handle. One popular open source tool for load testing is JMeter. By leveraging the features and capabilities of JMeter, you can perform extensive load testing and fix issues in your application before they become problematic. This book is written by JMeter developers and begins by discussing the whole process, including recording a script, setting it up, and launching it, enabling you to almost immediately start load testing. You'll learn the best practices that you must follow while designing test cases. You'll also explore the different protocols offered by JMeter through various real-world examples. Finally, you'll see how to integrate JMeter into the DevOps approach and create professional reports. You'll discover ways to use the eco-system of JMeter to integrate new protocols, enrich its monitoring, and leverage its power through the use of the cloud. By the end of this book, you'll know all that's needed to perform comprehensive load testing on your applications by using all the best practices and features of JMeter.
Table of Contents (14 chapters)

Some Tips to Read the Results

If we don't know how to read the results, our analysis will be false. To prevent this, let's look at some tips.

Prefer Percentiles over Average

Average is used a lot because it's easy to understand and calculate.

But mean and median values do not correctly reflect the user experience:

  • They tend to hide outliers.
  • They distort reality.
  • They hide the distribution of the data.

Different datasets can give you the same average as we can see in Anscombe's quartet ('s_quartet) or in this publication (

In these two graphs, the averages are the same and equal to 5.578947368:

Figure 12.15: Average = 5.578947368
Figure 12.16: The same average as the previous graph (5.578947368)

One solution to solve these problems is to use percentiles (

The XXth percentile (pXX) is the value...