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)

Load Testing a Database Server

Microservices architectures are increasingly being used, which involves more and more databases being used as well.

Usually, databases are accessed through an API, and therefore, for a load test to be as realistic as possible, it is necessary to test the API, and not the database directly:

Figure 9.1: Microservices architecture versus monolithic architecture

However, it may be useful to test the database directly when:

  • The API is not yet ready
  • To compare JDBC drivers easily
  • To tune database parameters
  • To compare different databases
  • To compare AWS RDS engine implementations (such as Aurora, Oracle, and SQL Server)
  • To check the database configuration
  • To check whether the cluster (as in, the VIP and load balancing strategy) is behaving well
  • To test the database production server before going live without having an API server production-ready
  • To do load testing on a database when a batch is...