Core

Model Registry and Promotion

A model registry is the source of truth for every model version, what data and code produced it, and how it scored on your eval suite. Promotion is the gated path from a registered candidate to live serving: pass the gates, soak in shadow or canary, then swap an alias so traffic moves atomically and rollback is one step.

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RELATED CONCEPTS

CI/CD for Models A/B, Canary and Shadow Testing Data and Concept Drift

LESSONS THAT TEACH THIS

The FDE EngagementRecreate the release and prove that its state can recover28 min→The FDE EngagementA drift alarm is a reason to investigate before you retrain28 min→Hard DeploymentsMake recovery work with the releases already inside the boundary30 min→

PRACTICE THIS IN REAL QUESTIONS

MLOps & ML EngineeringHow is CI/CD for ML models different from traditional DevOps CI/CD?→MLOps & ML EngineeringWhat is MLflow for, and what are its four components?→MLOps & ML EngineeringWhy use a model registry instead of just storing model artifacts in S3?→MLOps & ML EngineeringWhen you say you 'push staging to production,' what does that actually mean for a model?→MLOps & ML EngineeringHow do you ensure reproducibility in ML workflows?→MLOps & ML EngineeringWalk me through promoting a model from staging to production with the MLflow Model Registry.→