Data Engineering16 July 20268 min read

MLOps Model Registry Patterns: Tracking Artifacts with MLflow & S3

Automating model lineage, hyperparameter logging, and staging-to-production promotion gates in CI/CD pipelines.

MLOps Model Registry Patterns: Tracking Artifacts with MLflow & S3 Cover

The Role of a Central Model Registry

A production Model Registry decouples model artifact creation from API deployment, enforcing versioning, cryptographic checksums, and approval stage transitions.

References & Further Reading:

MLflow Model Registry Documentation

#Python #Databricks

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