Case Study - Developing and Scaling Kubeflow’s Web Apps

Explore the development and scaling challenges of Kubeflow's web applications in this insightful conference talk. Delve into the architectural decisions, authentication methods, and authorization processes implemented by the Kubeflow community to create cloud-native web apps for managing machine learning workflows on Kubernetes. Learn about the UX considerations for managing Kubernetes objects through a graphical interface, the factoring of common code for improved scalability, and efficient data fetching techniques for the Kubeflow dashboard. Gain valuable insights into advanced AutoML techniques and discover how the community overcame obstacles in designing, creating, and maintaining multiple web apps for managing Notebooks, PVCs, Tensorboards, Models, and AutoML Experiments.