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

Summary

In this chapter, we focused on improving production deployments. We started with using Terraform to reduce downtime during provisioning and resource destruction.

Then, we focused on the practice of blue-green deployment and its patterns, such as canary release and dark launch. We looked at the implementation of a blue-green deployment architecture in Azure using App Service and the Azure Traffic Manager component.

Finally, we detailed the implementation of feature flags in a .NET application using two types of tools: RimDev.FeatureFlags, which is an open source tool that offers a basic feature flags system, and LaunchDarkly, which is a cloud-based solution. It's not free of charge but provides complete and advanced feature flags management.

The next chapter is dedicated to GitHub. Here, we will look at the best practices for contributing to open source projects.

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