How to Monitor Whether an AI Model Is Serving the Correct Version

A deployment can route traffic to an unexpected model artifact when aliases, caches, or rollout configuration are inconsistent.

Checks to make

Expose model and artifact identifiers in deployment metadata, verify the serving endpoint against release records, and sample requests across replicas. Monitor rollout proportions and keep a rollback path to the last approved version.

When to get help

MLOps support can add artifact traceability and deployment verification. Informatix Systems can assess the symptoms, evidence, and next steps. Contact Informatix Systems to discuss this issue.