Book Image

Modern DevOps Practices - Second Edition

By : Gaurav Agarwal
Book Image

Modern DevOps Practices - Second Edition

By: Gaurav Agarwal

Overview of this book

DevOps and the cloud have changed how we look at software development and operations like never before, leading to the rapid growth of various DevOps tools, techniques, and practices. This updated edition helps you pick up the right tools by providing you with everything you need to get started with your DevOps journey. The book begins by introducing you to modern cloud-native architecture, and then teaches you about the architectural concepts needed to implement the modern way of application development. The next set of chapters helps you get familiarized with Git, Docker, Kubernetes, Ansible, Terraform, Packer, and other similar tools to enable you to build a base. As you advance, you’ll explore the core elements of cloud integration—AWS ECS, GKE, and other CaaS services. The chapters also discuss GitOps, continuous integration, and continuous delivery—GitHub actions, Jenkins, and Argo CD—to help you understand the essence of modern app delivery. Later, you’ll operate your container app in production using a service mesh and apply AI in DevOps. Throughout the book, you’ll discover best practices for automating and managing your development lifecycle, infrastructure, containers, and more. By the end of this DevOps book, you'll be well-equipped to develop and operate applications using modern tools and techniques.
Table of Contents (24 chapters)
1
Part 1:Modern DevOps Fundamentals
6
Part 2:Container Orchestration and Serverless
10
Part 3:Managing Config and Infrastructure
14
Part 4:Delivering Applications with GitOps
18
Part 5:Operating Applications in Production

The role of AI in the DevOps infinity loop

As we are already aware, instead of following a linear path of software delivery, DevOps practices generally follow an infinity loop, as shown in the following figure:

Figure A.1 – DevOps infinity loop

DevOps practices heavily emphasize automation to ensure that this infinity loop operates smoothly, and we need tools. Most of these tools help build, deploy, and operate your software. You will typically start writing code in an integrated development environment (IDE) and then check code into a central source code repository such as Git. There will be a continuous integration pipeline that will build code from your Git repository and push it to an artifact repository. Your QA team might write automated tests to ensure the artifact is tested before it is deployed to higher environments using a continuous deployment pipeline.

Before the advent of AI, setting up all of the toolchains and operating them relied...