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  • Hands-On High Performance with Spring 5
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Hands-On High Performance with Spring 5

Hands-On High Performance with Spring 5

By : Mehta, Subhash Shah, Shah, Prashant Goswami, Dinesh Radadiya
5 (1)
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Hands-On High Performance with Spring 5

Hands-On High Performance with Spring 5

5 (1)
By: Mehta, Subhash Shah, Shah, Prashant Goswami, Dinesh Radadiya

Overview of this book

While writing an application, performance is paramount. Performance tuning for real-world applications often involves activities geared toward detecting bottlenecks. The recent release of Spring 5.0 brings major advancements in the rich API provided by the Spring framework, which means developers need to master its tools and techniques to achieve high performance applications. Hands-On High Performance with Spring 5 begins with the Spring framework's core features, exploring the integration of different Spring projects. It proceeds to evaluate various Spring specifications to identify those adversely affecting performance. You will learn about bean wiring configurations, aspect-oriented programming, database interaction, and Hibernate to focus on the metrics that help identify performance bottlenecks. You will also look at application monitoring, performance optimization, JVM internals, and garbage collection optimization. Lastly, the book will show you how to leverage the microservice architecture to build a high performance and resilient application. By the end of the book, you will have gained an insight into various techniques and solutions to build and troubleshoot high performance Spring-based applications.
Table of Contents (14 chapters)
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Understanding memory leak

Java's best benefit is the JVM, which offers memory management out of the box. We can create objects and Java's garbage collector takes care of freeing up memory for us. Still, memory leaks occur in Java applications. In the following section, we will see some common causes of memory leaks and walk through a few solutions to detect/avoid them.

Memory leak in Java

A memory leak occurs when the garbage collector could not collect the objects any longer being used/referenced by an application. If the objects are not garbage collected, the application uses more memory and, once the entire heap is full, the object cannot be allocated, which leads to OutOfMemoryError.

Heap memory has two types...

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