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Full Description
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.
Contents
.- 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.
