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Cloud Computing 5.0: Autonomous & Self-Healing Cloud Architectures

Authors: Dr. Swati Vitthal Khidse, and Dr. Preeti Pandurang Kale

ISBN: 978-81-69297-17-2

DOI: https://doi.org/10.59646/698

Date of Publication: July 08, 2026

Cite this book: Swati VK, and Preeti PK, (2026), Cloud Computing 5.0: Autonomous & Self-Healing Cloud Architectures, San International Scientific Publications, ISBN: 978-81-69297-17-2, DOI: https://doi.org/10.59646/698

Preface

The rapid evolution of digital transformation, artificial intelligence, distributed computing, and hyperconnected infrastructures has fundamentally reshaped the landscape of modern cloud computing, giving rise to a new paradigm known as Cloud Computing 5.0. Unlike earlier generations of cloud technologies that primarily focused on virtualization, scalability, and on-demand resource provisioning, Cloud 5.0 introduces a highly intelligent, autonomous, self-healing, and self-optimizing ecosystem capable of making real-time operational decisions with minimal human intervention. This transformative era integrates advanced technologies such as AI-driven orchestration, reinforcement learning, AIOps, autonomous networking, zero-trust security, distributed analytics, edge and fog computing, serverless architectures, and confidential computing to create resilient and adaptive cloud environments suitable for next-generation enterprise applications.

The book Cloud Computing 5.0: Autonomous & Self-Healing Cloud Architectures is designed to provide a comprehensive exploration of these emerging paradigms, tracing the journey from traditional virtualization-based infrastructures to intelligent autonomous cloud ecosystems that operate across multi-cloud, edge, and distributed environments. Covering both foundational concepts and cutting-edge innovations, the book examines intelligent orchestration platforms, self-managing infrastructure, AI-powered observability, autonomous security frameworks, programmable cloud fabrics, serverless compute intelligence, and self-healing data management systems that collectively define the future of cloud technologies. Through detailed discussions on Kubernetes automation, intent-based operations, cloud reliability engineering, predictive analytics, autonomous databases, vector search systems, and quantum-resistant security mechanisms, this book aims to equip students, researchers, cloud architects, and industry professionals with the theoretical understanding and practical insights required to design, manage, and innovate next-generation autonomous cloud ecosystems capable of supporting the demands of Industry 5.0, smart enterprises, and globally distributed digital services.

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