Alessandro Pomponio from IBM Research explains how his team transformed their chaotic bare-metal clusters into a well-governed, self-service platform for AI and scientific workloads. He walks through their journey from manual cluster interventions to a fully automated GitOps-first architecture using ArgoCD, Kyverno, and Kueue to handle everything from policy enforcement to GPU scheduling.

You will learn:

• How to implement GitOps workflows that reduce administrative burden while maintaining governance and visibility across multi-tenant research environments

• Practical policy enforcement strategies using Kyverno to prevent GPU monopolization, block interactive pod usage, and automatically inject scheduling constraints

• Fair resource sharing techniques with Kueue to manage scarce GPU resources across different hardware types while supporting both specific and flexible allocation requests

• Organizational change management approaches for gaining stakeholder buy-in, upskilling admin teams, and communicating policy changes to research users

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