Buch, Englisch, 216 Seiten, Format (B × H): 155 mm x 235 mm
ISBN: 978-3-032-19415-2
Verlag: Springer
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Evolution, Challenges & AI’s 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.




