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Breaking the 1.5MB Barrier: Running Large Metaflow Flows with Argo for AI/ML Workloa...

Talkat ArgoCon NA 2024 · on Tuesday, 2024-11-12· at 11:15· Salt Palace | Level 2 | 254 B· [machine-learning]
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Metaflow flows convert to Argo workflows on EKS but hit the etcd 1.5MB limit when node status grows, causing runtime "request entity too large" failures after hours of wasted compute. The solution configures offloading node status to PostgreSQL (Aurora RDS), wired into the Argo controller, and enables 10,000-node Argo workflows in production instead of the ~3,000 default; implementation runs across regions and needs IAM auth and fair‑share scheduling next.

AI-written summary · about

  1. 0:00Breaking the 1.5MB barrier
  2. 1:03What is Metaflow
  3. 4:17AI/ML vs infrastructure
  4. 8:57Metaflow adoption
  5. 11:27Large Argo workflows
  6. 13:565MB etcd limit
  7. 15:02Offloading to Postgres
  8. 16:49Decoupling controllers
  9. 17:53Scaling to 10k nodes
  10. 18:16Future work and security
  11. 19:17Q&A
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