Model Monitoring

A model can pass offline evaluation and still fail in production.

Every infrastructure signal can look fine, the API healthy, latency stable, error rate at zero, while precision quietly drops because labels changed, a feature went stale, or the production population drifted away from the training distribution.

Infrastructure monitoring tells you whether the service is running. Model monitoring tells you whether the model is still useful.