Book Image

Performance Testing with JMeter 2.9

By : Bayo Erinle
Book Image

Performance Testing with JMeter 2.9

By: Bayo Erinle

Overview of this book

Performance testing with JMeter 2.9 is critical to the success of any software product launch and continued scalability. Irrespective of the size of the application's user base, it's vital to deliver the best user experience to consumers. Apache JMeter is an excellent testing tool that provides an insight into how applications might behave under load enabling organizations to focus on making adequate preparations. Performance Testing with JMeter 2.9 is a practical, hands-on guide that equips you with all the essential skills needed to effectively use JMeter to test web applications using a number of clear and practical step-by-step guides. It allows you take full advantage of the real power behind Apache JMeter, quickly taking you from novice to master. Performance Testing with JMeter 2.9 begins with the fundamentals of performance testing and gets you acquainted with JMeter. It will guide you through recording realistic and maintainable scripts. You will acquire new skills working with tools such as Vagrant, Puppet, and AWS, allowing you to leverage the cloud to aid in distributed testing. You will learn how to do some BeanShell scripting and take advantage of regular expressions, JMeter properties, and extension points to build comprehensive and robust test suites. Also, you will learn how to test RESTful web services, deal with XML, JSON, file downloads/uploads, and much more. Topics like resource monitoring, distributed testing, managing sessions, and extending JMeter are also covered. Performance Testing with JMeter 2.9 will teach you all you need to know to take full advantage of JMeter for testing web applications, dazzle your co-workers, and impress your boss! You will go from novice to pro in no time.
Table of Contents (14 chapters)

Summary


We have covered quite a lot of ground in this chapter. We have learned how we can distribute load using different techniques when executing test plans. We learned how to have JMeter work in a master/node configuration. With the help of tools such as Vagrant and Puppet, we made a daunting task really easy. We learned how to spin off several node machines on the same physical box (or different boxes) and use a master node to control them all from a JMeter GUI. While convenient, we saw that this method was limiting in terms of scalability. As the number of slave nodes grew, the master quickly became the bottleneck due to high I/O generated from several nodes trying to report progress to it. To overcome such restrictions and ultimately achieve infinite scalability, we learned how to run several test machines in parallel to execute our test plans. In the process, we leveraged the AWS infrastructure and saw how we can use the cloud to aid testing more efficiently, thus helping us reach...