Advait Patel – författare

Comprehensive exploration of emerging cloud computing technologies, focusing on generative AI, cloud security, sustainable computing practices, and edge computing Next-Generation Technologies in Cloud Computing delves into the development and future of cloud ecosystems, highlighting key technological milestones. Unlike traditional cloud computing books, this volume uniquely integrates AI, cybersecurity, sustainability, and edge computing into a single comprehensive resource. It explores the latest advancements, from generative AI and quantum computing to zero-trust security and green cloud practices, making it a forward-looking guide for readers of all backgrounds. The book bridges theory and practice by including case studies from industries like healthcare, finance, and IoT, showcasing how cloud innovations are transforming real-world applications. Contributions from leading academics, researchers, and industry experts provide valuable perspectives on deploying next-generation cloud solutions. Rather than focusing solely on performance and scalability, this volume emphasizes eco-friendly cloud solutions and the ethical implications of AI-driven cloud systems. It highlights strategies for achieving carbon-neutral cloud infrastructures and securing AI applications responsibly, addressing the growing demand for sustainable and ethical technology practices. Next-Generation Technologies in Cloud Computing includes information on: Machine Learning as a Service (MLaaS) and its advantages for businesses and developers, emphasizing multi-cloud optimizationEdge computing’s role in enhancing real-time data processing, particularly in IoT and 5G networksEco-friendly cybersecurity and AI-powered threat detectionPrivacy-preserving techniques, innovations in IoT platforms, and cost optimization for cloud AIRegulatory frameworks including the EU AI Act, the NIST AI Risk Management Framework, OECD AI Principles, and U.S. Executive Orders on AINext-Generation Technologies in Cloud Computing is an essential resource on the subject for cloud professionals, cybersecurity experts, AI researchers, students, educators, policymakers, and anyone interested in understanding the future of cloud technology.

This edited Book represents critical themes in the evolving intersection of cloud computing and artificial intelligence. Generative AI drives innovation in automation and infrastructure design, while cloud security, DevSecOps, and AI ethics address the need for safe, responsible deployment. Sustainable cloud computing, green cybersecurity, and carbon footprint reduction focus on minimizing environmental impact. Data privacy and governance ensure compliance and trust in AI-powered systems. AI-powered automation, real-time monitoring, and cloud cost optimization enhance efficiency, performance, and resource management. Multi-cloud and hybrid cloud strategies, combined with edge computing, AI, and IoT integration, enable scalability, low-latency processing, and intelligent ecosystems. Predictive AI capabilities support disaster recovery and business continuity, while regulatory compliance and FinOps maintain legal and financial control. Together, these concepts define cloud transformation through AI-driven cloud strategies, enabling resilient, ethical, and sustainable digital infrastructures.

This edited Book represents critical themes in the evolving intersection of cloud computing and artificial intelligence. Generative AI drives innovation in automation and infrastructure design, while cloud security, DevSecOps, and AI ethics address the need for safe, responsible deployment. Sustainable cloud computing, green cybersecurity, and carbon footprint reduction focus on minimizing environmental impact. Data privacy and governance ensure compliance and trust in AI-powered systems. AI-powered automation, real-time monitoring, and cloud cost optimization enhance efficiency, performance, and resource management. Multi-cloud and hybrid cloud strategies, combined with edge computing, AI, and IoT integration, enable scalability, low-latency processing, and intelligent ecosystems. Predictive AI capabilities support disaster recovery and business continuity, while regulatory compliance and FinOps maintain legal and financial control. Together, these concepts define cloud transformation through AI-driven cloud strategies, enabling resilient, ethical, and sustainable digital infrastructures.

This book bridges the gap between leading-edge AI innovation and real deployment, by offering a practical guide to engineering secure, scalable, and responsible AI. The authors describe a unified framework that merges engineering principles with ethical design, cybersecurity, explainability, and policy alignment. Through expert insights, case studies, and technical guidance, the book empowers researchers, developers, and decision-makers to build AI that users can trust.

This book bridges the gap between leading-edge AI innovation and real deployment, by offering a practical guide to engineering secure, scalable, and responsible AI. The authors describe a unified framework that merges engineering principles with ethical design, cybersecurity, explainability, and policy alignment. Through expert insights, case studies, and technical guidance, the book empowers researchers, developers, and decision-makers to build AI that users can trust.

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.

Understand the core concepts and principles of Identity and Access Management (IAM) in Google Cloud Platform (GCP)

"e;Identity Management on GCP"e; is a detailed step-by-step guide that helps readers through Identity Management within the Google Cloud Platform (GCP). Even though it is a comprehensive guide to GCP IAM, it provides precise definitions of the main concepts, practical recommendations, and best practices for identity management in cloud environments.The topics described in the book, with the help of clear explanations and examples, include connecting on-premise identity systems to GCP, managing admin and workforce identities, and securing applications running on GCP. It also considers issues of integrating IAM with the business environment and compliance, providing the readers with information on implementing IAM solutions that are effective and can be scaled easily.At the end of the book, the readers will have effectively gained knowledge on GCP IAM and can implement improved security measures and manage and optimize identity processes in their cloud environments effectively. Cloud security specialists, identity engineers, and IT administrators are the primary target audience of this book. You Will:Understand the core concepts and principles of Identity and Access Management (IAM) in Google Cloud Platform (GCP)Learn to manage administrative and workforce identities effectivelyImplement IAM solutions that align with business needs and regulatory compliance requirementsThis book is for: Cloud Security Specialists, Identity Engineers and Compliance Engineers, Site Reliability Engineers, Cloud Architects, Cloud Ops Engineers

Implementing Security with AI in GCP is a detailed guide designed to help professionals harness the power of artificial intelligence within Google Cloud Platform (GCP) to strengthen cloud security. Tailored for security practitioners, it offers a thorough exploration of GCP’s security principles, AI-driven tools, and their practical applications.The book is organized into three parts that progressively build advanced expertise in Google Cloud security. Part 1 lays the foundation by exploring GCP’s advanced security architecture, identity and access management, data protection, and key security services. It blends conceptual depth with hands-on exercises, ensuring readers master the essentials of designing secure and resilient cloud environments. Part 2 moves into real-world design and deployment, focusing on securing microservices, serverless applications, multi-tenant architectures, and infrastructure-as-code automation. Through practical labs and visual walkthroughs, readers learn to implement enterprise-grade security patterns. Part 3 emphasizes continuous improvement—covering AI-powered threat detection, compliance automation, DevSecOps integration, and strategies for adapting to evolving threats.By combining theoretical principles, practical insights, and real-world case studies, Mastering GCP Security for Advanced Users provides a complete roadmap to architect, automate, and sustain secure environments in Google Cloud. Who this book is for:This book is for cloud security engineers, architects, and administrators who want to use AI to strengthen security in GCP. Basic knowledge of GCP infrastructure and services will help in understanding the concepts covered.