Michael Müller og Pini Reznik From Cloud Native to AI Native

Cloud Native to AI Native explores how organizations transition to AI-first systems using proven patterns, scalable architectures, and strategic frameworks to build, deploy, and optimize next-generation AI-powered platforms Key Features: - Proven frameworks to transition from cloud-native to AI-native architectures - Practical pattern-based approach to designing scalable AI platforms - Strategic guidance for driving enterprise AI transformation and innovation Book Description: Cloud Native to AI Native is a strategic guide to navigating the next major shift in technology evolution moving from cloud-first systems to AI-driven platforms. As organizations race to adopt artificial intelligence, many struggle to align architecture, strategy, and execution. This book provides a structured framework to help leaders and engineers make informed decisions and avoid costly mistakes. Drawing on real-world experience and proven methodologies, it introduces a pattern-based approach to transformation, enabling you to assess your organization's maturity and identify the right path forward. You'll explore key operational modes such as bootstrapping, scaling, optimizing, and innovating, while learning how to design AI-ready platforms that integrate seamlessly with existing cloud-native foundations. The book offers practical insights into building resilient, scalable systems that treat data and models as first-class components, ensuring long-term adaptability. By connecting the evolution of cloud-native architectures with the emerging AI-native paradigm, it provides clarity in an otherwise rapidly changing landscape. This book equips you with the tools, frameworks, and mindset needed to successfully transition into the AI-native era and unlock real business value. What You Will Learn: - Understand the shift from cloud-native to AI-native architectures - Identify where your organization sits on the technology evolution curve - Apply transformation patterns to design scalable AI platforms - Navigate operational modes like scaling, optimizing, and innovating - Build AI-ready systems integrated with existing cloud infrastructure - Anticipate future technology trends and adoption strategies - Avoid common anti-patterns in enterprise AI transformation - Drive measurable business value from AI initiatives Who this book is for: This book is designed for technology leaders, solution architects, cloud engineers, and enterprise decision-makers looking to navigate the transition from cloud-native to AI-native systems. It is ideal for professionals responsible for digital transformation, platform engineering, and AI adoption strategies. Consultants, CTOs, and innovation leaders will benefit from its structured frameworks, enabling them to design scalable AI platforms, align business goals with emerging technologies, and drive measurable outcomes in rapidly evolving markets. Table of Contents - Navigating the Evolution of IT - Cloud Native - A Transformative Shift - Waves of Innovation - Old Maturity and Deciding to Transform - Transformation - New Maturity and Next Wave - The Costly Mistakes of Going Cloud Native - Sustaining Cloud Native: Culture, Leadership, Finance and the Planet - AI Native - Charting the Uncharted Waters of the Next Transformation - Case Studies