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Mastering DevOps

A Cloud Engineering and Data Science Perspective

  • 1st Edition - March 29, 2026
  • Latest edition
  • Authors: Chinmaya Kumar Dehury, Satish Narayana Srirama
  • Language: English

Mastering DevOps: A Cloud Engineering and Data Science Perspective addresses the challenge of understanding and implementing DevOps in an era of rapid technological advanc… Read more

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Description

Mastering DevOps: A Cloud Engineering and Data Science Perspective addresses the challenge of understanding and implementing DevOps in an era of rapid technological advancement where cloud-based infrastructure and data science applications have become integral to many organizations. The book covers the specific requirements of these fields, such as scalability, automation, and managing large-scale data and containerized applications. Content focuses on DevOps principles while integrating core technologies such as cloud computing, microservices, and continuous integration/continuous delivery (CI/CD). Additionally, the book provides coverage of a DevOps approach tailored to data science by covering recent advancements and explaining their relevance in a DevOps environment.

Specific topics cover fundamental principles, including history, planning, and essential tools like Git, introduce the core technologies and architectures that power modern DevOps, such as microservices, cloud computing, and containerization, and focus on the practical implementation of DevOps, exploring key practices like continuous integration, automation, and monitoring. Finally, the book delves into advanced topics and future trends, such as deployment strategies and the extension of DevOps principles to data science and other narrowed-down domains.

Key features

  • Presents end-to-end DevOps phases with real-world applications, covering each DevOps phase, from planning to monitoring, with practical examples and scenarios
  • Includes detailed coverage of core technologies such as cloud computing, containerization (e.g., Docker and Kubernetes), and continuous integration/delivery pipelines
  • Provides chapters that explain how to implement DevOps principles in data pipelines and machine learning workflows, meeting the unique demands of these growing fields

Readership

Computer Science researchers, software engineers, programmers, and software researchers in academia and industry, including software engineers, software developers, and architects who are interested in developing software that includes best practices for systems hosted in the cloud. The book also caters to developers, researchers, or professionals working with data pipeline management who are looking to incorporate DevOps principles through DataOps for efficient pipeline management and model deployment. Suitable for graduate-level courses on DevOps, cloud infrastructure, and data pipeline management

Table of contents

1. Introduction to DevOps

2. Planning

3. Version Control System

4. Microservices

5. Cloud Computing for DevOps

6. Packaging and Shipping with Containers

7. Containers Orchestration System

8. Continuous Integration, Delivery and Deployment

9. Continuous Testing

10. Monitoring in DevOps

11. Automation

12. Deployment Models

13. DataOps: Data Science Perspective

Product details

  • Edition: 1
  • Latest edition
  • Published: March 29, 2026
  • Language: English

About the authors

CD

Chinmaya Kumar Dehury

Chinmaya Kumar Dehury is currently an Assistant Professor in the Computer Science department, IISER Berhampur, India. He was an Assistant Professor in the Institute of Computer Science, University of Tartu, Estonia. His research interests include scheduling, resource management and fault tolerance problems of Cloud and fog Computing, edge intelligence, Internet of Things, and data management frameworks. His research results are published by top-tier journals and transactions such as IEEE TCC, JSAC, TPDS, FGCS, etc. He is a member of IEEE and ACM India. He is also serving as a PC member of several conferences and reviewer to several journals and conferences, such as IEEE TPDS, IEEE JSAC, IEEE TCC, IEEE TNNLS, Wiley Software: Practice and Experience, etc.

Affiliations and expertise
Indian Institute of Science Education and Research (IISER) Berhampur, Distributed Systems, Cloud Computing, Edge Intelligence

SS

Satish Narayana Srirama

Satish Narayana Srirama is a Professor at the School of Computer and Information Sciences, University of Hyderabad, India. He is also a Visiting Professor and the honorary head of the Mobile & Cloud Lab at the Institute of Computer Science, University of Tartu, Estonia, which he led as a Research Professor until June 2020. He received his PhD in computer science from RWTH Aachen University, Germany in 2008. His current research focuses on cloud computing, mobile web services, mobile cloud, Internet of Things, fog computing, migrating scientific computing and enterprise applications to the cloud and large-scale data analytics on the cloud. He is an IEEE Senior Member, an Editor of Wiley Software: Practice and Experience, a 55-plus-year old Journal, was an Associate Editor of IEEE Transactions in Cloud Computing and a program committee member of several international conferences and workshops. Dr. Srirama has co-authored over 200 refereed scientific publications in international conferences and journals. He is also a co-author of Mastering Cloud Computing book from Elsevier/Morgan Kaufmann and has co-edited 3 reference books.

Affiliations and expertise
School of Computer and Information Sciences, University of Hyderabad, India