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Microservices Deployment Cookbook

You're reading from Microservices Deployment Cookbook Deploy and manage scalable microservices

Product type Paperback

Published in Jan 2017

Publisher Packt

ISBN-13 9781786469434

Length 378 pages

Edition 1st Edition

Languages

Java

Tools

Spring

Concepts

Microservices

Author (1):

Vikram Murugesan

View More author details

Table of Contents (9) Chapters

Preface

1. Building Microservices with Java FREE CHAPTER

2. Containerizing Microservices with Docker

3. Deploying Microservices on Mesos

4. Deploying Microservices on Kubernetes

5. Service Discovery and Load Balancing Microservices

6. Monitoring Microservices

7. Building Asynchronous Streaming Systems with Kafka and Spark

8. More Clustering Frameworks - DC/OS, Docker Swarm, and YARN

Setting up Zookeeper using Docker

In Chapter 3 , Deploying Microservices on Mesos, we learned a little bit about Zookeeper. To keep it very simple, Zookeeper is a cluster-management tool that is mainly used for storing your cluster configurations. Zookeeper is used by several Apache big data projects such as Mesos, Kafka, and Bookkeeper. In this chapter, we will see how we can use Zookeeper to store our microservice configurations and later use them to perform load-balancing. This recipe will show you how to start Zookeeper and Exhibitor using Docker. Exhibitor is a management interface for Zookeeper. In addition to providing a web interface to manage Zookeeper, it also performs log file cleanups and backups. We will be using the Exhibitor web interface to verify that our service was registered on Zookeeper.

Getting ready

We now know that we need two components:
- Zookeeper
- Exhibitor
They could either be two individual containers linked together via docker-compose or could coexist in the same...

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Authors (1)

Vikram Murugesan

Vikram Murugesan

Vikram Murugesan is a software architect who has over 10 years of experience building distributed systems and products. He currently works as a principal architect with Egen Solutions Inc. In his current job, he focuses on building platforms based on JVM (Java, Scala, and Groovy), big data, and cloud technologies. He is a passionate programmer and is interested in learning new technologies. He is also interested in coaching, mentoring, and building scalable teams that build great software.

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