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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

2. Setting Up the Development Environment FREE CHAPTER

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

Mandatory services for good microservices

There are a few patterns/services that should be in place for implementing microservice-based design. This list consists of the following:

Service discovery and registration
Edge or proxy server
Load balancing
Circuit breaker
Monitoring

We'll implement these services in this chapter to complete our OTRS system. Following is a brief overview. We'll discuss these patterns/services in detail later.

Service discovery and registration

The Netflix Eureka server is used for service discovery and registration. We created the Eureka service in the last chapter. It not only allows you to register and discover services, but also provides load balancing using Ribbon.

...

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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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