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

Using a Packer image with Terraform

Now that we have generated a custom VM image, we will provision a new VM based on this new image. For the provisioning of this VM, we will continue to use IaC practices using Terraform from HashiCorp.

For the entire implementation and use of Terraform, read Chapter 2, Provisioning Cloud Infrastructure with Terraform.

To do this, we will take the Terraform script created in Chapter 2, Provisioning Cloud Infrastructure with Terraform, and modify it to use the custom image.

In the compute.tf script, add the following block of data, which will point to the VM image that we generated with Packer in the last section:

## GET THE CUSTOM IMAGE CREATED BY PACKER
data "azurerm_image" "customngnix" {
name = "linuxWeb-0.0.1"
resource_group_name = "rg_images"
}

In this code, we add a block of azurerm_image Terraform...