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Practical DevOps, Second Edition

Practical DevOps, Second Edition

By : joakim verona
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Practical DevOps, Second Edition

Practical DevOps, Second Edition

5 (1)
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 code workflows from testing environments to production environments. It stresses cooperation between different roles, and how they can work together more closely, as the roots of the word imply—Development and Operations. Practical DevOps begins with a quick refresher on DevOps and continuous delivery and quickly moves on to show you how DevOps affects software architectures. You'll create a sample enterprise Java application that you’'ll continue to work with through the remaining chapters. Following this, you will explore various code storage and build server options. You will then learn how to test your code with a few tools and deploy your test successfully. In addition to this, you will also see how to monitor code for any anomalies and make sure that it runs as expected. Finally, you will discover how to handle logs and keep track of the issues that affect different processes. By the end of the book, you will be familiar with all the tools needed to deploy, integrate, and deliver efficiently with DevOps.
Table of Contents (12 chapters)
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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.

Docker is beginning to have an impact on larger enterprises, but solutions such as Puppet or Ansible are still 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 competing solutions, such as these:

  • Docker swarm: Docker swarm is compatible with Docker Compose, which is appealing...

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