Book Image

Java: High-Performance Apps with Java 9

By : Mayur Ramgir
Book Image

Java: High-Performance Apps with Java 9

By: Mayur 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 (9 chapters)
Java: High-Performance Apps with Java 9
Credits
Preface

Chapter 4. Microservices

As long as we kept talking about the designing, implementation, and tuning of one process, we were able to keep illustrating it with vivid images (albeit in our imagination only) of pyramid building. Multiple thread management, based on the democratic principle of equality between thread pool members, had also a sense of centralized planning and supervision. Different priorities were assigned to threads programmatically, hardcoded (for most cases) after thoughtful consideration by the programmer in accordance with the expected load, and adjusted after monitoring. The upper limits of the available resources were fixed, although they could be increased after, again, a relatively big centralized decision.

Such systems had great success and still constitute the majority of the web applications currently deployed to production. Many of them are monoliths, sealed inside a single .ear or .war file. This works fine for relatively small applications and a corresponding team...