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
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Dedication
Preface

Docker Compose


The majority of the time, Docker is synonymous to microservices. Running a big monolithic application in Docker does not make too much sense as the whole Docker Engine is thought to be running big applications split into different and smaller services. There is no technical limitation to running a monolithic app on Docker, but when the orchestration software comes into place (in the following chapters), it really defeats the purpose of containerization. When dealing with microservices, it is very common to have several services running at the same time when developing, as the new services will lean on the existing ones to execute operations. In order to achieve this setup, Docker facilitates a tool called docker-compose that, by creating a YAML file with the definition of our containers, can spawn a full ecosystem of containers. Docker compose used to be very popular in the beginning of Docker. Nowadays, it is still widely used, but its space has been slowly reduced to development...