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

Deploying containers with Docker Swarm


Docker Swarm is Docker's solution to clustering multiple Docker engines into one cluster. If your organization is heavily reliant on Docker and Docker containers, it might be worth looking at Docker Swarm. When you have several Docker installations that you maintain on separate Docker hosts, then these Docker hosts will be grouped together as a cluster using Docker Swarm. Docker Swarm brings in a whole lot of features that will help manage your apps on a Swarm cluster. Another great advantage of using Docker Swarm is that since it uses the Docker API, working with a Swarm cluster is no different than working with a Docker daemon. So tools such as Shipyard still continue to work with Docker Swarm. We will look at Shipyard later in this recipe.

Getting ready

At this moment, the easiest way to orchestrate a Docker Swarm cluster locally is by using docker-machine instances. Before you start the Docker Swarm cluster, let's familiarize ourselves with some concepts...