Book Image

Microservices Deployment Cookbook

By : Vikram Murugesan
Book Image

Microservices Deployment Cookbook

By: Vikram Murugesan

Overview of this book

This book will help any team or organization understand, deploy, and manage microservices at scale. It is driven by a sample application, helping you gradually build a complete microservice-based ecosystem. Rather than just focusing on writing a microservice, this book addresses various other microservice-related solutions: deployments, clustering, load balancing, logging, streaming, and monitoring. The initial chapters offer insights into how web and enterprise apps can be migrated to scalable microservices. Moving on, you’ll see how to Dockerize your application so that it is ready to be shipped and deployed. We will look at how to deploy microservices on Mesos and Marathon and will also deploy microservices on Kubernetes. Next, you will implement service discovery and load balancing for your microservices. We’ll also show you how to build asynchronous streaming systems using Kafka Streams and Apache Spark. Finally, we wind up by aggregating your logs in Kafka, creating your own metrics, and monitoring the metrics for the microservice.
Table of Contents (15 chapters)
Microservices Deployment Cookbook
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

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...

  1. Click on the Create button and fill out the friendly form with the following information:

    • App name: geolocation

    • Container...