Data & AI

Model Registry Lifecycle Flow

Data & AI Pipelines diagram · made in Skemio

Architecture diagram illustrating a Model Registry flow from CI/CD trainer to artifact storage, signature validator, staging, and production API.
Architecture diagram illustrating a Model Registry flow from CI/CD trainer to artifact storage, signature validator, staging, and production API.
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What it shows

  • Track weights, artifacts, and schemas under immutable semantic versions.
  • Automated validation gates verify input/output shapes before staging.
  • Decoupled promotion moves pointers without rebuilding serving containers.

The takeaway

A model registry is not storage; it is a governance gatekeeper for production inference.

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