Michael Mueller
re:cinq
Stuttgart, Germany
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Michael Mueller is a widely recognised expert in cloud technologies, artificial intelligence, transformation, and sustainable software, with a career spanning over two decades—from technological innovation to senior management roles. As a former CNCF Ambassador and the current Co-Chair of the Green Software Foundation’s Policy Working Group, he has significantly contributed to advancing the cloud, AI, and sustainable IT industries. Michael shares his knowledge as a lecturer at the Lucerne University of Applied Sciences and Arts and as a speaker at various industry conferences.
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Navigating the Next Wave: From Cloud Native Agility to AI Native Architecture
Based on the book "From Cloud Native to AI Native," co-author Michael Mueller explores the technological shift from cloud to AI-driven software development.
This session covers true Cloud Native adoption, which requires changes to architecture, operations, and culture, not just new tools. You'll learn from successful patterns like Microservices and CI/CD while avoiding common pitfalls such as the Distributed Monolith.
The talk then connects these lessons to the emerging AI Native era. Discover how AI is driving deep architectural changes toward Model-Centric and Agentic Architectures, and learn a practical approach to use your Cloud Native maturity as the foundation for this transformation.
Bridging AI and Cloud-Native: Building Scalable AI Platforms with Platform Engineering Principles
As AI becomes integral to modern applications, building robust and scalable AI platforms is crucial. This session explores communalities of AI and Platform Engineering, demonstrating how cloud native principles can be used to build AI platforms that are able to handle data-intensive workloads. We will show the unique challenges of AI systems—such as large-scale data management, complex model training cycles, and seamless deployment pipelines—and show how adopting proven platform engineering strategies can address these issues. Attendees will gain practical insights into automating AI workflows, ensuring system resilience, and integrating CNCF tools like Kubernetes, Kubeflow, and Argo Workflows to enhance AI capabilities within cloud-native environments.
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