Design a Model Registry and Versioning System — System Design Interview Practice
Design a model registry that tracks model versions and metadata, manages model lifecycle stages, stores model artifacts, and provides approval workflows for production promotion. Work through the requirements, architecture trade-offs, and an interactive design review.
Requirements and concepts to consider
- Register and version ML modelsRequirement
- Store model artifacts and metadataRequirement
- Track training parameters and metricsRequirement
- Manage model lifecycle stages (dev, staging, prod)Requirement
- Implement approval workflows for promotionRequirement
- Compare model versions side-by-sideRequirement
- Support model lineage (data, code, config)Requirement
- Integrate with CI/CD for automated deploymentRequirement
- mlopsConcept to explore
- model registryConcept to explore
- versioningConcept to explore
- lifecycle managementConcept to explore
- mlflowConcept to explore
- governanceConcept to explore