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

Why Microservices?


Some businesses have a higher demand for the deployment plan because of the need to keep up with the bigger volume of traffic. The natural answer to this challenge would be and was to add servers with the same .ear or .war file deployed and join all the servers into a cluster. So, one failed server could be automatically replaced with another one from the cluster, and the site user would never experience disconnect of the service. The database that backed all the clustered servers could be clustered too. A connection to each of the clusters went through a load balancer, making sure that none of the cluster members worked more than the others.

The web server and database clustering help but only to a degree, because as the code base grows, its structure can create one or several bottlenecks unless such and similar issues are addressed with a scalable design. One of the ways to do it is to split the code into tiers: front end (or web tier), middle tier (or app tier) and back...