Running load tests around different application scenarios and simultaneously monitoring CPU, IO, Heap usage, etc. Load testing tools and Application Performance Management (APM) solutions are commonly used for Java performance testing.
We will use this as the reference to run load tests and monitor different application metrics in the upcoming sections.
This application is managing a list of employees and exposes REST APIs for adding an employee and retrieving existing employees. We’ll use a simple Spring Boot web application – as the one we created in this article. Let’s define a baseline application we can use throughout this article. Using metrics like these which can be measured via different load testing and application monitoring tools helps to identify key bottlenecks and tune performance accordingly.
Expected requests per second during peak load. 
Average concurrent users must the system support. Here are a few frequently used Java performance testing goals for typical web applications: Java Performance Testing Goalsīefore we start working on improving the performance of the application, we need to define and understand our non-functional requirements around key areas such as scalability, performance, availability, etc. Note that performance optimization is a wide topic, and this is only a starting point for exploring it on the JVM. Finally, we’ll look at JVM specific tuning tips and architectural changes to improve the performance of a Java application. We’ll also look at some of the common Java code level optimizations as well as best coding practices. We’ll start with how to define measurable performance goals and then look at different tools to measure, monitor application performance and identify bottlenecks. In this article, we’ll discuss Java performance testing approaches that can be helpful for improving the performance of a Java application.
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