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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 JVM internals

Being a Java developer, we know that Java bytecode runs in a Java Runtime Environment (JRE) and the most important part of the JRE is JVM, which analyzes and executes the Java bytecode. When we create a Java program and compile it, the result is a file with the .class extension. It contains Java bytecode. JVM converts Java bytecode into machine instructions that are executed on the hardware platform where we run our application. When a JVM runs a program, it needs memory to store bytecodes and other information it extracts from loaded class files, instantiated objects, method parameters, return values, local variables, and intermediate results of computations. The JVM organizes the memory it needs into several runtime data areas.

JVM consist of three parts:

  • Class loader subsystem
  • Memory areas
  • Execution engine

The following diagram illustrates the...

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