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

Summary

AI revolutionizes DevOps practices by infusing intelligence into every development and operations cycle stage. It streamlines processes, enhances efficiency, and ensures smoother collaboration between development and operations teams. AI automates routine tasks, predicts potential bottlenecks, and optimizes workflows, transforming how software is built, tested, deployed, and monitored. From automating code analysis to predicting system failures, AI empowers DevOps by enabling quicker decision-making, reducing errors, and fostering a more agile and responsive software development environment.

In essence, AI acts as a silent partner, continuously learning from data, suggesting improvements, and helping DevOps teams foresee and address issues before they impact the software’s performance. It’s the catalyst that drives agility and innovation, allowing DevOps to evolve from a mere collaboration between teams to a symbiotic relationship where AI enhances the capabilities...