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Java: High-Performance Apps with Java 9

Java: High-Performance Apps with Java 9

By : Ramgir
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Java: High-Performance Apps with Java 9

Java: High-Performance Apps with Java 9

By: Ramgir

Overview of this book

Java 9 which is one of the most popular application development languages. The latest released version Java 9 comes with a host of new features and new APIs with lots of ready to use components to build efficient and scalable applications. Streams, parallel and asynchronous processing, multithreading, JSON support, reactive programming, and microservices comprise the hallmark of modern programming and are now fully integrated into the JDK. This book focuses on providing quick, practical solutions to enhance your application's performance. You will explore the new features, APIs, and various tools added in Java 9 that help to speed up the development process. You will learn about jshell, Ahead-of-Time (AOT) compilation, and the basic threads related topics including sizing and synchronization. You will also explore various strategies for building microservices including container-less, self-contained, and in-container. This book is ideal for developers who would like to build reliable and high-performance applications with Java. This book is embedded with useful assessments that will help you revise the concepts you have learned in this book. This book is repurposed for this specific learning experience from material from Packt's Java 9 High Performance by Mayur Ramgir and Nick Samoylov
Table of Contents (7 chapters)
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Chapter 3. Multithreading and Reactive Programming

In this lesson, we will look at an approach to support a high performance of an application by programmatically splitting the task between several workers. That was how the pyramids were built 4,500 years ago, and this method has not failed to deliver since then. But there is a limitation on how many laborers can be brought to work on the same project. The shared resources provide a ceiling to how much the workforce can be increased, whether the resources are counted in square feet and gallons (as the living quarters and water in the time of the pyramids) or in gigabytes and gigahertz (as the memory and processing power of a computer).

Allocation, usage, and limitations of a living space and computer memory are very similar. However, we perceive the processing power of the human workforce and CPU quite differently. Historians tell us that thousands of ancient Egyptians worked on cutting and moving massive stone blocks at the same...

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