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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 (15) Chapters

Microservices Deployment Cookbook

Credits

About the Author

About the Reviewer

www.PacktPub.com

Customer Feedback

Preface

1. Building Microservices with Java

2. Containerizing Microservices with Docker FREE CHAPTER

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

Scaling your microservice in Kubernetes

If you read the previous chapter, you will know how important being able to scale microservices is. Scaling is a significant feature for any clustering framework because with the increasing usage of containers, users prefer simpler methods to scale their containers. Like Marathon, Kubernetes' dashboard can be used to easily scale containers up and down. In this recipe, we will be using the Kubernetes dashboard to scale up and scale down the geolocation microservice.

Getting ready

Open up the Kubernetes dashboard if you already have your cluster running. If not, use Minikube to start the cluster and open the dashboard. Make sure there are no instances of the geolocation container running on your Kubernetes cluster. If you have any instance of geolocation running, delete the replication controllers, services, and pods.

How to do it...

Click on the Create button and fill out the friendly form with the following information:
- App name: geolocation
- Container...

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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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