Book Image

Implementing Modern DevOps

By : Danny Varghese, David Gonzalez
Book Image

Implementing Modern DevOps

By: Danny Varghese, David Gonzalez

Overview of this book

This book follows a unique approach to modern DevOps using cutting-edge tools and technologies such as Ansible, Kubernetes, and Google Cloud Platform. This book starts by explaining the organizational alignment that has to happen in every company that wants to implement DevOps in order to be effective, and the use of cloud datacenters in combination with the most advanced DevOps tools to get the best out of a small team of skilled engineers. It also delves into how to use Kubernetes to run your applications in Google Cloud Platform, minimizing the friction and hassle of maintaining a cluster but ensuring its high availability. By the end of this book, you will be able to realign teams in your company and create a Continuous Delivery pipeline with Kubernetes and Docker. With strong monitoring in place, you will also be able to react to adverse events in your system, minimizing downtime and improving the overall up-time and stability of your system.
Table of Contents (17 chapters)
Title Page
About the Author
About the Reviewer
Customer Feedback


This chapter was pretty intense: we set up a CD pipeline as well as visited the most common release strategies, which, using Kubernetes, were within the reach of our hand. Everything was automated except a couple of checkpoints that were left on purpose so that we could control what was going in our system (just for peace of mind). This was the climax of the book: even though the examples were basic, they provided you with enough tools to set up something similar in your company in order to get the benefit of working with microservices but padding the operational overhead that they involve as well as facilitating the release of new versions.

In the next chapter, we will learn an important aspect of continuous delivery: monitoring. With the right monitoring in place we can remove a lot of stress from the releases so that our engineers are more confident on being able to catch errors early leading into smoother rollouts and a lower production bug count.