~/lightning

Lightning Talk: Kuber-What-Es?! Misadventures in Building UIs for K8s-Based ML Platforms

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Team builds Kubernetes-based ML platform to run massively parallel hyperparameter optimization jobs and chooses three UI rules: focus on non-infra users, CLI with hidden Kubernetes. After launch usage splits: data scientists want notebook integrations and no terminals while ML engineers want direct CLI and tinkering, so the product pleases neither and adoption is low. Conclusion is to observe actual workflows, pick one persona at a time, and iterate on concrete integrations rather than one-size-fits-all abstractions.

AI-written summary · about

  1. 0:00Introduction
  2. 1:08Who am I
  3. 1:21The 3 Critical Decisions
  4. 2:08User Groups
  5. 3:33Conclusion
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