TL;DR — Model Registry

Design a model registry that serves as the central catalog for all machine learning models in an organization. The registry tracks model versions, their training lineage, evaluation metrics, deployment status, and provides governance controls for promoting models through staging environments. Key features: Register models with versioned artifacts and metadata. Promotion workflow: dev -> staging -> production with approvals.