Book Image

Learning DevOps

By : Mikael Krief
Book Image

Learning DevOps

By: Mikael Krief

Overview of this book

The implementation of DevOps processes requires the efficient use of various tools, and the choice of these tools is crucial for the sustainability of projects and collaboration between development (Dev) and operations (Ops). This book presents the different patterns and tools that you can use to provision and configure an infrastructure in the cloud. You'll begin by understanding DevOps culture, the application of DevOps in cloud infrastructure, provisioning with Terraform, configuration with Ansible, and image building with Packer. You'll then be taken through source code versioning with Git and the construction of a DevOps CI/CD pipeline using Jenkins, GitLab CI, and Azure Pipelines. This DevOps handbook will also guide you in containerizing and deploying your applications with Docker and Kubernetes. You'll learn how to reduce deployment downtime with blue-green deployment and the feature flags technique, and study DevOps practices for open source projects. Finally, you'll grasp some best practices for reducing the overall application lead time to ensure faster time to market. 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 (23 chapters)
Free Chapter
1
Section 1: DevOps and Infrastructure as Code
6
Section 2: DevOps CI/CD Pipeline
9
Section 3: Containerized Applications with Docker and Kubernetes
12
Section 4: Testing Your Application
16
Section 5: Taking DevOps Further

Writing a Terraform script to deploy Azure infrastructure

To illustrate the use of Terraform to deploy resources in Azure, we will provision a simple Azure architecture with Terraform that is composed of the following:

  • There's a group resource.
  • There's also a network part composed of a virtual network and a subnet.
  • In this subnet, we will create a virtual machine that has a public IP address in order to be publicly available.

For this, in the same directory where we previously created the provider.tf file, we will create a main.tf file with the following code:

  1. Let's start with the code that provides the resource group:
resource "azurerm_resource_group" "rg" {
name = "bookRg"
location = "West Europe"
tags {
environment = "Terraform Azure"
}
}

Any Terraform code is composed of the same syntax...