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Learning DevOps

Learning DevOps

By : Mikael Krief
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Learning DevOps

Learning DevOps

4 (4)
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)
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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

Managing Your Source Code with Git

A few years ago, when we were developers and writing code as part of a team, we encountered recurring problems that were for the most part as follows:

  • How to share my code with my team members
  • How to version the update of my code
  • How to track changes to my code
  • How to retrieve an old state of my code or part of it

Over time, these issues have been solved with the emergence of source code managers, also called a Version Control System (VCS) or noted more commonly as a Version Control Manager (VCM).

The goals of these VCSes are mainly to do the following:

  • Allow collaboration of developers' code.
  • Retrieve the code.
  • Version the code.
  • Track code changes.

With the advent of agile methods and DevOps culture, the use of a VCS in processes has become mandatory. Indeed, as mentioned in Chapter 1, DevOps Culture and Practices, the implementation...

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Learning DevOps
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