AI and Cloud Native Software Engineering : Building enterprise-scale cloud-native applications with AI-integrated software engineering workflows
Description: Artificial intelligence is the driving force behind the next generation of software, transforming how we build, deploy, and manage cloud-native applications. This book explores the powerful convergence of artificial intelligence, machine learning, and cloud-native software engineering,...
Đã lưu trong:
| Những tác giả chính: | , , |
|---|---|
| Định dạng: | Livre numérique |
| Ngôn ngữ: | Anglais |
| Được phát hành: |
New Delhi :
BPB Publications
2026.
Paris : Cyberlibris |
| Truy cập trực tuyến: | Accès Université d'Orléans et IFPM |
| Chú thích: |
Couverture. https://static2.cyberlibris.com/books_upload/300pix/9789378540479.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • AI and Cloud Native Software Engineering, Building enterprise-scale cloud-native applications with AI-integrated software engineering workflows, Dr. Pethuru Raj Chelliah, Dr. Kavita Saini, Dr. Rani Kumari, New Delhi, BPB Publications, 2026, 1 vol. (289 p.), 978-93-7854-047-9 |
| LEADER | 04219nam a22002417a 4500 | ||
|---|---|---|---|
| 001 | 1478013 | ||
| 008 | 260708s2026 xxg ||| |||| 00| 0 eng d | ||
| 009 | PPN298023474 | ||
| 041 | 0 | |a eng | |
| 100 | 1 | |a Chelliah, Pethuru Raj. | |
| 245 | 1 | 0 | |a AI and Cloud Native Software Engineering : |b Building enterprise-scale cloud-native applications with AI-integrated software engineering workflows |c Dr. Pethuru Raj Chelliah, Dr. Kavita Saini, Dr. Rani Kumari. |
| 260 | |a New Delhi : |b BPB Publications. | ||
| 260 | |a Paris : |b Cyberlibris, |c 2026. | ||
| 500 | |a Couverture. https://static2.cyberlibris.com/books_upload/300pix/9789378540479.jpg | ||
| 500 | |a Cyberlibris (ScholarVox) corpus Informatique | ||
| 505 | 0 | |a 1. Technical Perspective of AI for Ensuring Knowledge Era -- 2. Empowering Software Engineering with Artificial Intelligence -- 3. Artificial Intelligence for Application Modernization and Migration -- 4. Generative and Agentic AI Principles and Practices for Accelerated Software Engineering -- 5. Study on AI Tools That Can Generate Software Source Code -- 6. AI-powered Tools to Enhance the Stages of Software Development -- 7. AI for IT Infrastructure Resource Optimization -- 8. AI and Workload Infrastructure Optimization -- 9. Challenges of Using AI in Software Development -- 10. Next-generation Developer Experience Enabled by AI -- 11. Coding to Prompting an Agentic AI Revolution | |
| 506 | |a L'accès en ligne est réservé aux établissements ou bibliothèques ayant souscrit l'abonnement. Cyberlibris | ||
| 520 | |a Description: Artificial intelligence is the driving force behind the next generation of software, transforming how we build, deploy, and manage cloud-native applications. This book explores the powerful convergence of artificial intelligence, machine learning, and cloud-native software engineering, offering readers a practical understanding of how modern technologies are transforming software development. It highlights how AI-driven approaches are enhancing productivity, improving decision-making, and enabling smarter, scalable systems. Readers will gain insights into how artificial intelligence empowers software engineering practices, including intelligent automation, predictive analytics, and improved software quality. The book also covers emerging areas such as generative AI for source code creation and advanced AI tools that assist developers in writing, optimizing, and maintaining code efficiently. By the end of this book, readers will possess a comprehensive roadmap for upgrading their technical skills and adapting to the rapid evolution of industry demands. Readers will be equipped to enhance their professional impact by strategically leveraging AI-enabled tools, accelerating development lifecycles, and building innovative, cloud-native applications with confidence. What you will learn: Explore generative AI techniques for automated source code creation; Learn popular AI tools for efficient software development processes; Apply machine learning models to improve software quality assurance; Design scalable applications using cloud-native architecture principles; Enhance productivity with intelligent automation in coding practices. Who this book is for: This book is for students, software developers, data scientists, cloud engineers, and IT professionals who want to integrate AI and ML into modern software development practices. It is also valuable for tech leads, researchers, and architects aiming to build scalable, intelligent, and cloud-native applications in evolving industry environments | ||
| 700 | 1 | |a Saini, Kavita. |4 aut | |
| 700 | 1 | |a Kumari, Rani. |4 aut | |
| 776 | 0 | |t AI and Cloud Native Software Engineering |o Building enterprise-scale cloud-native applications with AI-integrated software engineering workflows |f Dr. Pethuru Raj Chelliah, Dr. Kavita Saini, Dr. Rani Kumari |c New Delhi |n BPB Publications |d 2026 |p 1 vol. (289 p.) |z 978-93-7854-047-9 | |
| 856 | 4 | |5 452349901:894031317 |u https://ezproxy.univ-orleans.fr/login?url=https://univ.scholarvox.com/book/88980635 |z Accès Université d'Orléans et IFPM | |
| 997 | |0 1478013 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/ScholarVox (ebooks)/ | ||