Hi Muhammad,
It depends on where you’re deploying to.  For TFlite and TFJS deployments model monitoring is very different.  For TensorFlow Serving it would mostly be a matter of logging and then analyzing the log data for drift and skew.  To detect concept drift you will need labeling of samples of prediction requests.  For Vertex AI there is a preview release of model monitoring support 5.
thanks,
Robert