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In this video, we run a simple Python script that generates training metrics and automatically logs them to a ClearML server running on a Kubernetes cluster. You’ll see how ClearML auto-collects parameters, metrics, and artifacts with minimal code, and how those results appear live in the ClearML UI. A quick, practical look at experiment tracking in a real, Kubernetes-backed ClearML deployment.