Model monitoring is the continuous observation of a deployed model's performance, inputs, outputs, drift, errors, latency, and operational health. It helps detect degradation, misuse, bias, security issues, and conditions that require retraining or intervention.
Vertex AI Model Monitoring is a service that continuously evaluates the performance of deployed models by detecting feature skew and drift in prediction requests, helping to maintain model quality over time. For more information, see Introduction to Vertex AI Model Monitoring.
Operational tracking of model quality, drift, latency, cost and safety incidents in production.