Model Registry

A model registry is a centralized system or database used to store, manage, and track machine learning (ML) models and their associated metadata throughout their lifecycle.

It serves as a single source of truth for ML models in an organization, enabling efficient discovery, versioning, deployment, and monitoring.

In the Instagram article, the model registry (built using Configerator) was critical for scaling their recommendation system. It allowed them to track metadata for over 1,000 models, categorize them by criticality, and integrate with automated tools for performance evaluation and deployment.