Book Image

Practical DevOps

By : joakim verona
Book Image

Practical DevOps

By: joakim verona

Overview of this book

DevOps is a practical field that focuses on delivering business value as efficiently as possible. DevOps encompasses all the flows from code through testing environments to production environments. It stresses the cooperation between different roles, and how they can work together more closely, as the roots of the word imply—Development and Operations. After a quick refresher to DevOps and continuous delivery, we quickly move on to looking at how DevOps affects architecture. You'll create a sample enterprise Java application that you’ll continue to work with through the remaining chapters. Following this, we explore various code storage and build server options. You will then learn how to perform code testing with a few tools and deploy your test successfully. Next, you will learn how to monitor code for any anomalies and make sure it’s running properly. Finally, you will discover how to handle logs and keep track of the issues that affect processes
Table of Contents (17 chapters)
Practical DevOps
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Deploying with Docker


A recent alternative for deployment is Docker, which has several very interesting traits. We have already used Docker several times in this book.

You can make use of Docker's features for test automation purposes even if you use, for instance, Puppet or Ansible to deploy your products.

Docker's model of creating reusable containers that can be used on development machines, testing environments, and production environments is very appealing.

At the time of writing, Docker is beginning to have an impact on larger enterprises, but solutions such as Puppet are dominant.

While it is well known how to build large Puppet or Ansible server farms, it's not yet equally well known how to build large Docker-based server clusters.

There are several emerging solutions, such as these:

  • Docker Swarm: Docker Swarm is compatible with Docker Compose, which is appealing. Docker Swarm is maintained by the Docker community.

  • Kubernetes: Kubernetes is modeled after Google's Borg cluster software...