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Metaflow — what and when to use it?

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Answer

  • Netflix ML workflow framework.
  • Decorator-based Python (@step, @resources) — writes like normal Python but runs as DAG on cloud.
  • Features: (1) automatic S3 versioning of every intermediate.
  • (2) local dev then --with batch runs on AWS.
  • (3) resumable from any step.
  • (4) parallel foreach loops.
  • Best for data-scientists who want to focus on Python without DevOps.
  • Alternatives: ZenML, Flyte (K8s-native).
Check yourself — multiple choice
  • Random
  • Netflix framework: decorator-based Python → cloud DAG; auto-versioned S3 intermediates + local→cloud toggle + resumable + parallel foreach; best for DS-focused workflows
  • Same as Airflow
  • Not real

Metaflow: decorator Python + auto-versioned + local-to-cloud.

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