Component Registry for Kubeflow Pipelines

Explore the concept of a component registry for Kubeflow Pipelines in this informative conference talk by Christian Kadner from IBM. Learn how a registry can enhance collaboration and efficiency in machine learning workflows on Kubernetes. Discover the benefits of reusable components in Kubeflow Pipelines and understand how a component registry addresses the need for sharing these components among data scientists and teams. Gain insights into how a rich catalog of components can simplify common tasks in ML workflows, such as creating secrets, persistent volume claims, and config maps, ultimately reducing the burden of implementing repetitive processes on Kubernetes.