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Cloud Engineering with AI [Kõva köide]

  • Formaat: Hardback, 216 pages, kõrgus x laius: 235x155 mm, 15 Illustrations, color; 4 Illustrations, black and white
  • Ilmumisaeg: 24-Jun-2026
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3032194156
  • ISBN-13: 9783032194152
Teised raamatud teemal:
  • Kõva köide
  • Hind: 165,74 €*
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  • Tavahind: 220,99 €
  • Säästad 25%
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  • Lisa ostukorvi
  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
  • Formaat: Hardback, 216 pages, kõrgus x laius: 235x155 mm, 15 Illustrations, color; 4 Illustrations, black and white
  • Ilmumisaeg: 24-Jun-2026
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3032194156
  • ISBN-13: 9783032194152
Teised raamatud teemal:
This book presents a comprehensive, practitioner-focused exploration of how artificial intelligence (AI) is transforming the way modern cloud systems are designed, deployed, and operated. It will offer the readers blueprint for leveraging AI-powered techniques to build scalable, reliable, and cost-efficient digital platforms, drawing from real-world enterprise practices and cutting-edge research.   The book will cover a broad range of topics at the intersection of AI and engineering, including work load forecasting, anomaly detection, cost optimization, intelligent observability, test automation, and self-healing systems. It explores into how AI augments software reliability engineering (SRE), enhances developer experience, automates operational workflows, and brings measurable gains in both performance and financial efficiency.
.- Evolution, Challenges & AIs Role in Cloud Engineering.
.- Architecting Scalable and Resilient Systems.
.- Data & Telemetry Pipelines for AI-Ready Cloud Operations.
.- Predictive & Self-Optimizing Infrastructure.
.- CI/CD & AI-Accelerated Quality.
.- AI-Driven Observability and Incident Intelligence.
.- Developer Experience & Platform Engineering with AI.
.- Secure & Compliant AI Operations (AI-SecOps).
.- Cost & Eco-Optimised Cloud (FinOps + Sustainability).
.- MLOps and AI Engineering at Scale.
.- AI Co-Pilots and Autonomous Engineering Assistants.
.- Edge & Distributed AI Cloud.
.- Ethics, Transparency, and Governance in AI-Augmented Systems.
.- Conclusion: The Future of AI-Powered Cloud Engineering.
Shalini Sudarsan is a DevOps Engineering Leader at Kindercare Learning Companies, USA. designing reliable, secure, and cost-optimized data and AI platforms. A Forbes Technology Council Member, Fellow of IETE and Women in Engineering (WIE) Oregon section, she drives enterprise AI adoption with a governed operating model that speeds time-to-market while lowering risk and spend. Shalinis expertise spans BI strategy, data platform architecture, MLOps, observability, and value realization. She is known for translating complex engineering into measurable business outcomes. Shalini brings deep technical rigor and business expertise in the areas of DevOps and Reliability Engineering. A committed advocate for advancing technology, Shalini regularly presents at international conferences and contributes to IEEE and ACM as a technical reviewer.



Advait Patel is a Senior Site Reliability Engineer with over 8 years of experience in cloud computing, site reliability engineering, and cloud security. He holds a Masters degree in Computer Science from DePaul University, specializing in Software Engineering and Cloud Computing. Advait is currently at Broadcom, where he develops and maintains a globally distributed SaaS-based metrics monitoring platform. His expertise includes technologies such as Kubernetes, Terraform, Ansible, and Python. He has a strong focus on vulnerability management, compliance frameworks, and disaster recovery. Advait is an active contributor to the tech community and has presented at multiple conferences, authored articles on Docker, cloud security, and containerization, and is a technical reviewer for various IEEE and ACM publications.



Dr. Bishwajeet Pandey is a Professor at GL Bajaj Institute of Technology and Management, Greater Noida, India. He has been a Senior Member of IEEE since 2019. He holds an MTech in Computer Science from the IIIT, Gwalior, India, and a PhD in Computer Science from the Gran Sasso Science Institute, Italy. He has taught at esteemed institutions such as Chitkara University, Chandigarh; Jain University, Bangalore; Astana IT University, Kazakhstan; Eurasian National University, Kazakhstan (QS World Rank 321); Walsh College, USA; and UCSI University, Malaysia (QS World Rank 265). Dr. Pandey is a prolific researcher with over 30 published books and more than 220 research papers indexed in Scopus. He has garnered over 4500+ citations. His leadership roles include serving as the Research Head of the School of CSE at Jain University, Bangalore, from 2021 to 2023 and as the head of the International Global Academic Partnership Committee at Birla Institute of Applied Science, Bhimtal, from 2020 to 2021. In 2023, Dr. Pandey was honored with the prestigious Professor of the Year Award at Lord's Cricket Ground by the London Organization of Skills Development. Beyond his outstanding research output, his greatest strength lies in his global academic network. He has visited 49 countries, participated in 105 international conferences, and co-authored papers with 218 professors from 93 universities across 42 nations.