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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

Understanding the Kubernetes dashboard

In the previous recipe, we learned how to start and stop our local single-node Kubernetes cluster. We call it a single-node cluster because it will just have one Kubernetes node configured. So all the containers that you deploy are going to be deployed on this single Kubernetes node. Kubernetes comes with a sophisticated web UI. The web UI acts as an administration console for your cluster. You can perform almost all operations that you can with kubectl, on the web UI. In fact, you could also monitor the resource utilization of your cluster from the web UI. In this recipe, we are going to get familiar with the Kubernetes dashboard so that we can easily manage our microservice on any Kubernetes cluster.

Getting ready

The first thing you need to know is the URL to the Kubernetes UI dashboard. One way to do that is identifying the IP of your minikube VM and use the default Kubernetes dashboard port, 30000.
To find the IP of your minikube VM, run the following...

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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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