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Production AI Radar

DVC

Data Version Control - Git workflows for datasets, models, and pipelines.

TrialMLOpsNew
Why this ring
Mature OSS for mid-market; lighter than full lakehouse lineage for many teams.
Production risk if ignored
Remote storage misconfig leaks datasets or loses history.
Typical effort
weeks
Low FinOps impact

Use cases

  • Dataset versioning
  • Pipeline reproducibility

Adoption steps

  1. Init DVC remote
  2. Track one training set
  3. CI pull of pinned rev
  4. Train team on push/pull

Related tools

In your assessment

DVC remote security + retention policy