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Master Apache JMeter - From Load Testing to DevOps

You're reading from   Master Apache JMeter - From Load Testing to DevOps Master performance testing with JMeter

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Product type Paperback
Published in Aug 2019
Publisher
ISBN-13 9781839217647
Length 468 pages
Edition 1st Edition
Languages
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Authors (3):
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Bruno Demion (Milamber) Bruno Demion (Milamber)
Author Profile Icon Bruno Demion (Milamber)
Bruno Demion (Milamber)
Antonio Gomes Rodrigues Antonio Gomes Rodrigues
Author Profile Icon Antonio Gomes Rodrigues
Antonio Gomes Rodrigues
Philippe Mouawad Philippe Mouawad
Author Profile Icon Philippe Mouawad
Philippe Mouawad
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Toc

Table of Contents (14) Chapters Close

About the Book 1. Quick Start with JMeter FREE CHAPTER 2. JMeter Overview 3. Designing a Test Case 4. Important Concepts in JMeter 5. Preparing the Test Environment (Injectors and Tested Systems) 6. Being Productive with JMeter 7. Load Testing a Website 8. Load Testing Web Services 9. Load Testing a Database Server 10. Load Testing Message-Oriented Middleware (MOM) via JMS 11. Performing a Load Test 12. Visualizing and Analyzing the Load Testing Results 13. Integration of JMeter in the DevOps Tool Chain

Introduction

Visualizing and analyzing the results of a load test is an important step.

It allows us to:

  • Validate that our scripting is realistic (by checking that the number of executions of business transactions during the test run matches the expected number).
  • Debug the script.
  • Know how the targeted platform handles the load.
  • See how the response times evolve over time.
  • See what errors and issues occur.

Viewing results from JMeter is based on Listener elements.

JMeter allows the recording of results in different formats:

  • CSV files are the default format. The data comes in as one line per sample at a particular time, and the fields are separated by a configurable separator (by default, the comma).
  • An XML file that stores the different fields as tags or XML attributes. It allows us to fully record the sent and received data, thus providing an exhaustive view of the requests and responses, allowing us to analyze the errors.
  • As data in databases like InfluxDB...
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