Autorentext

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.

Klappentext

Mastering DevOps: A Cloud Engineering and Data Science Perspective explores the complexities of adopting DevOps in today's fast-evolving tech landscape, where cloud infrastructure and data-driven solutions are central to business success. The book equips readers with the practical skills and foundational knowledge needed to design, deploy, and manage DevOps processes that address the challenges of scalability, automation, and handling large-scale, containerized applications. By integrating DevOps principles with essential technologies like cloud computing, microservices, and CI/CD pipelines, the text ensures readers gain a comprehensive understanding of modern DevOps practices. Beyond the basics, the book tailors its approach to the unique needs of data science, highlighting recent innovations and their impact within DevOps environments. Structured across four progressive units, the book covers everything from foundational principles and tools to advanced deployment strategies and emerging trends. Readers benefit from a clear roadmap--beginning with DevOps fundamentals, moving through core architectures, CI/CD automation, and concluding with advanced topics and the intersection of DevOps and data science.