Alessandro, a seasoned community leader, has spent the last few years architecting cloud-native infrastructures for Microsoft customers, energizing the Dutch tech community, and helping professionals achieve CKx certification. With over 25 years immersed in open-source technologies, Alessandro is deeply passionate about the cloud-native ecosystem. He's now back at Microsoft as a Senior Technical Specialist in Application Innovation & AI.
Kubernetes is quickly becoming the preferred platform for running GenAI workloads, but wiring together training jobs, inference pipelines, and scalable model serving can feel overwhelming. This hands-on tutorial walks you through the full lifecycle of GenAI on Kubernetes—from launching distributed training jobs with GPU scheduling, to running optimized inference workloads, to exposing production-grade model endpoints using cloud-native serving stacks. We’ll cover key building blocks like operators, autoscaling (HPA/KEDA), vector stores, model registries, and popular OSS frameworks (KServe, Ray, vLLM, Kubeflow, and more). You’ll learn how to design resource-efficient GPU clusters, fine-tune models securely, and deploy multi-model serving architectures that behave predictably under real traffic. By the end, you’ll have a working reference setup and a clear understanding of how to operationalize GenAI workloads using the Kubernetes patterns you already know. No magic—just practical, reproducible workflows you can take back to your platform today.
Flux is one of the most powerful GitOps engines in the CNCF ecosystem, and mastering it unlocks fully automated, declarative operations for any Kubernetes fleet. This 120-minute workshop takes you from zero to multi-cluster GitOps using real-world patterns and hands-on exercises. We’ll start by bootstrapping Flux into a fresh cluster, structuring repositories, and deploying applications with Kustomize and Helm. Then we’ll move into advanced workflows: image automation, drift detection, health checks, secret management, and progressive delivery. Finally, we’ll scale the setup to multiple clusters, demonstrating how to manage environments, handle divergence, and coordinate shared platform components through Git alone.
Participants will leave with a complete end-to-end GitOps setup they can reproduce at work, along with practical skills to operate clusters confidently in a declarative, auditable, and automated way—powered by Flux.
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