Monitoring a model in production watches both the system (latency, errors, availability) and the quality of predictions (distribution of inputs and outputs, real performance when ground truth arrives). It triggers alerts to detect degradations before they affect users.
Example
Alert if p95 latency exceeds one second or if the share of positive predictions doubles in a week.