
Mastering DevOps
A Cloud Engineering and Data Science Perspective
by Chinmaya Kumar Dehury, Satish Narayana Srirama
1st Edition
Publisher: Morgan Kaufmann
Book Details
| Print ISBN | 9780443450327 |
| eText ISBN | 9780443450334 |
| Publisher | Morgan Kaufmann |
| Publishing Year | 2026 |
| Edition | 1st Edition |
| Language | English |
| Pages | 326 |
Mastering DevOps: A Cloud Engineering and Data Science Perspective, 1st Edition, offers a structured operational guide for modern cloud environments and software delivery. Written by Chinmaya Kumar Dehury and Satish Narayana Srirama, the book establishes fundamental DevOps concepts while helping technical professionals and advanced academic learners bridge operational gaps in engineering.
The text organizes its technical coverage into distinct thematic modules, starting with version control systems using Git, microservices architecture, and cloud computing infrastructure. It then progresses into practical containerization with Docker and container orchestration using Kubernetes, providing systematically built concepts for modern software packaging and scalable deployment models.
A key feature of the work is how it extends standard operational principles into data science workflows and complex data pipelines using DataOps. This specialized perspective directly supports graduate students enrolled in DevOps, cloud infrastructure, and data pipeline management courses, while offering practical utility for software architects, computer science researchers, and data pipeline professionals.
Table of Contents
Chapter 1: Introduction to DevOps
Chapter 2: Planning
Chapter 3: Version Control System
Chapter 4: Microservices
Chapter 5: Cloud Computing for DevOps
Chapter 6: Packaging and Shipping with Containers
Chapter 7: Containers Orchestration System
Chapter 8: Continuous Integration, Delivery and Deployment
Chapter 9: Continuous Testing
Chapter 10: Monitoring in DevOps
Chapter 11: Automation
Chapter 12: Deployment Models
Chapter 13: DataOps: Data Science Perspective
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