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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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In-Container Deployment


Those who are familiar with Virtual Machine (VM) and not familiar with modern containers (such as Docker, Rocket by CoreOS, VMware Photon, or similar) could get the impression that we were talking about VM while saying that a container could not only contain and execute the contained code, but also to move it to a different location without any change to the contained code. If so, that would be quite an apt assumption. VM does allow all of that, and a modern container can be considered a lightweight VM as it also allows the allocation of resources and provides the feeling of a separate machine. Yet, a container is not a full-blown isolated virtual computer.

The key difference is that the bundle that can be passed around as a VM includes an entire operating system (with the application deployed). So, it is quite possible that a physical server running two VMs would have two different operating systems running on it. By contrast, a physical server (or a VM) running three...

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