
Cloud-native Architecture (CNA) and Artificial Intelligence (AI) for the Future of Software Engineering: The Principles, Patterns, Platforms and Practices
- 1st Edition, Volume 141 - March 1, 2026
- Editors: Mats Agerstam, Pethuru Raj, Pushan Kumar Dutta, Balasubramanian Sundaravadivazhagan, Gayathri Nagasubramanian
- Language: English
- Hardback ISBN:9 7 8 - 0 - 4 4 3 - 2 2 4 0 1 - 0
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 2 4 0 2 - 7
Cloud-native Architecture (CNA) and Artificial Intelligence (AI) for the Future of Software Engineering: The Principles, Patterns, Platforms and Practices, Volume 141 in the Advanc… Read more
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- Contains novel subject matter that is relevant to computer science
- Includes the expertise of contributing authors
- Presents an easy to comprehend writing style
Graduate students, researchers, and university teachers
1. Demystifying the Cloud-native Artificial Intelligence (CNAI) Paradigm
2. Articulating Machine and Deep Learning Models for Next-Generation Software Development
3. Delineating Artificial Intelligence (AI) and Its Potentials for Automated Software Engineering
4. Leveraging Machine and Deep Learning (ML/DL) Algorithms towards AI Models for Automating Software Development
5. Artificial Intelligence (AI) Technologies and Tools for Accelerated Software Development
6. Demystifying the Agentic AI Paradigm for Accelerated Software Engineering
7. Detailing AI Techniques and Tools for Software Engineering Acceleration and Automation
8. Generative AI Tools for Accelerated Software Engineering
9. Empowering Software Engineering Automation through Explainable AI
10. Deepseek and ChatGPT for Software Engineering: An Analysis and Insight
11. Agile Software Development through DevSecOps, Site Reliability Engineering, and Value Stream Management (VSM) Products and Practices
12. Evolution of Software Engineering: From Traditional to Modern Approaches
13. Cloud Native Engineering: A Comprehensive Review of Principles, Practices, and Challenges
14. AI-Driven Testing Practices for Cloud-Native Systems
15. Kubernetes for Highly Scalable and Self-Healing Software Systems
16. Pioneering Agile Innovation: A Cloud-Native MLOps Odyssey for Data-Driven Applications
17. Cloud Native Engineering for AI-Driven ERP Systems: Enhancing Security, Compliance, and Data Privacy
18. Cloud-Native Secrets Management: Eliminating Hardcoded Secrets in CI/CD and Cloud Workloads with HashiCorp Vault
19. Ethical AI and Responsible Automation in Software Engineering
- Edition: 1
- Volume: 141
- Published: March 1, 2026
- Language: English
MA
Mats Agerstam
PR
Pethuru Raj
PD
Pushan Kumar Dutta
BS
Balasubramanian Sundaravadivazhagan
Dr. B. Sundaravadivazhagan is a Professor in the Department of Information Technology at the University of Technology and Applied Sciences, Al-Musanna, Sultanate of Oman. He earned his M.E. and Ph.D., specializing in wireless networks, MANET, IoT, cryptography, network security, cloud computing, and blockchain technologies.
With over 19 years of teaching experience, Dr. Sundaravadivazhagan has held leadership roles including Head of Department at institutions in both India and Oman, and currently serves as an Emeritus Professor at KPR Institute of Engineering and Technology in Coimbatore, India. He is an active member of ISTE and CSI, has contributed to editorial boards, peer-reviewed numerous international journals, and chaired advisory committees for several global conferences. He also evaluates Ph.D. theses at prominent universities in India.
His scholarly output includes 22 publications and a book titled Performance Analysis of Broadcast Schemes in MANET, published by Lambert Academic Publishing (Germany). His recent research articles cover topics like IoT in healthcare, leader election in MANET, sentiment analysis using Naïve Bayes, and biometric-based cryptosystems.
Dr. Sundaravadivazhagan is also a sought-after resource person, having delivered keynote lectures and webinars on IoT trends and security across various international platforms.
GN
Gayathri Nagasubramanian
N. Gayathri, PhD is an Assistant Professor in the Department of Computer Science and Engineering, GITAM University, Bengaluru. She has published 45+ published journal articles (SCI journals& Scopus indexed), presented papers in national/ international conferences, published book chapters, and edited books published with Wiley and CRC Press. Dr. Gayathri has 7 Indian patents, 1 Australian Patent, and she is a guest editor for Recent Patents on Computer Science. Her research interests include Big data Analytics, IoT and networks. She is an active reviewer for Bentham Science Journal, Mobile Networks and Applications, Expert Systems with Applications, Sustainable Computing: Informatics and Systems, IEEE Internet of Things, Expert Systems.