Mastering DevOps: A Cloud Engineering and Data Science Perspective

DevOps from Code to Cloud ⚙️

Written by Chinmaya Kumar Dehury and Satish Narayana Srirama, Mastering DevOps: A Cloud Engineering and Data Science Perspective is a structured guide to the principles, tools, and architectures that define modern DevOps practice. Published by Morgan Kaufmann, an imprint of Elsevier, it moves from foundational ideas to advanced topics, connecting software development, cloud engineering, and data workflows.

What the Book Explores

The material is organized into four units. The first establishes the foundations: the software development life cycle, Agile and DevOps history, planning, and version control with Git. The second unit examines core technologies and architectures, including microservices, cloud computing, virtualization, Docker containers, and Kubernetes orchestration. The third unit focuses on CI/CD practices and automation, with chapters on continuous integration, delivery, and deployment, continuous testing, monitoring with Prometheus, and automation with Ansible and infrastructure as code. The final unit extends into advanced topics and the data science perspective, covering deployment models, Terraform, and DataOps.

Tools and Techniques You Will Encounter 💻

• Git branching, merging, and GitHub workflows
• Microservice architecture and REST APIs
• Cloud service and deployment models
• Docker container lifecycle and networking
• Kubernetes components, control flow, and services
• CI/CD pipeline configuration with GitLab
• Continuous testing and code quality
• Monitoring with Prometheus and PromQL
• Infrastructure as code and Ansible automation
• DataOps, data governance, and data-intensive applications

Who This Book Is For

The range of topics makes this a useful reference for software engineers, cloud practitioners, DevOps engineers, data professionals, and computer science students who want a structured path through the field. The book includes review questions and references, supporting both self-study and course use.

Why It Matters 🧠

DevOps is less a single tool than a way of connecting development, operations, and data work. This book helps readers understand that larger picture—how planning, version control, containers, cloud platforms, automation, and monitoring combine to support reliable, scalable systems.