Book Image

Learning DevOps - Second Edition

By : Mikael Krief
Book Image

Learning DevOps - Second Edition

By: Mikael Krief

Overview of this book

In the implementation of DevOps processes, the choice of tools is crucial to the sustainability of projects and collaboration between developers and ops. This book presents the different patterns and tools for provisioning and configuring an infrastructure in the cloud, covering mostly open source tools with a large community contribution, such as Terraform, Ansible, and Packer, which are assets for automation. This DevOps book will show you how to containerize your applications with Docker and Kubernetes and walk you through the construction of DevOps pipelines in Jenkins as well as Azure pipelines before covering the tools and importance of testing. You'll find a complete chapter on DevOps practices and tooling for open source projects before getting to grips with security integration in DevOps using Inspec, Hashicorp Vault, and Azure Secure DevOps kit. You'll also learn about the reduction of downtime with blue-green deployment and feature flags techniques before finally covering common DevOps best practices for all your projects. By the end of this book, you'll have built a solid foundation in DevOps and developed the skills necessary to enhance a traditional software delivery process using modern software delivery tools and techniques.
Table of Contents (25 chapters)
1
Section 1: DevOps and Infrastructure as Code
7
Section 2: DevOps CI/CD Pipeline
11
Section 3: Containerized Microservices with Docker and Kubernetes
14
Section 4: Testing Your Application
18
Section 5: Taking DevOps Further/More on DevOps

Getting started with Docker Compose

So far in this chapter, we have studied how to write a Dockerfile, create a Docker image, and run a container of this Docker image.

Today, applications are not working in standalone mode; they need other dependencies such as a service (for example, another application; an application programming interface (API)) or a database. This implies that for these applications, the Docker workflow is more consistent. Indeed, when we work with several Docker applications, we have to execute for each of them the docker build and docker run commands, which requires some effort.

Docker Compose is a more advanced Docker tool that allows us to deploy several Docker containers at the same time in the same deployment cycle. Docker Compose also allows us to manage elements that are common to these Docker containers, such as data volumes and network configuration.

Note

For more details about Docker Compose, read the official documentation here:

https...