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Mastering Microservices with Java 9

You're reading from Mastering Microservices with Java 9 Build domain-driven microservice-based applications with Spring, Spring Cloud, and Angular

Product type Paperback

Published in Dec 2017

Publisher Packt

ISBN-13 9781787281448

Length 316 pages

Edition 2nd Edition

Languages

Java

Tools

Angular

Concepts

Microservices

Author (1):

Sourabh Sharma

View More author details

Table of Contents (12) Chapters

Preface

1. A Solution Approach FREE CHAPTER

2. Setting Up the Development Environment

3. Domain-Driven Design

4. Implementing a Microservice

5. Deployment and Testing

6. Reactive Microservices

7. Securing Microservices

8. Consuming Services Using a Microservice Web Application

9. Best Practices and Common Principles

10. Troubleshooting Guide

11. Migrating a Monolithic Application to Microservice-Based Application

NetBeans IDE installation and setup

NetBeans IDE is free and open source and has a big community of users. You can download the NetBeans IDE from its official website, https://netbeans.org/downloads/.

At the time of writing this book, NetBeans for Java 9 was available only as a nightly build (downloadable from http://bits.netbeans.org/download/trunk/nightly/latest/). As shown in the following screenshot, download all the supported NetBeans bundles as we'll use Javascript too:

NetBeans bundles

GlassFish Server and Apache Tomcat are optional. The required packs and runtimes are denoted as Already Installed (as NetBeans was already installed on my system):

NetBeans packs and runtimes

After downloading the installation, execute the installer file. Accept the license agreement as shown in the following screenshot, and follow the rest of the steps to install the NetBeans IDE...

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Authors (1)

Sharma

Sharma

Tushar Sharma has a master's degree specializing in data science from the International Institute of Information Technology, Bangalore. He works as a data scientist with Intel. In his previous job he used to work as a research engineer for a financial consultancy firm. His work involves handling big data at scale generated by the massive infrastructure at Intel. He engineers and delivers end to end solutions on this data using the latest machine learning tools and frameworks. He is proficient in R, Python, Spark, and mathematical aspects of machine learning among other things. Tushar has a keen interest in everything related to technology. He likes to read a wide array of books ranging from history to philosophy and beyond. He is a running enthusiast and likes to play badminton and tennis.

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