TL;DR: You can use Evidently for report-based monitoring of your production models. Here is an example Jupyter notebook for bike demand forecasting case.
Tutorial - "How to break a model in 20 days".
In this tutorial, we train a demand prediction model, simulate the production use, and analyze its gradual decay. The tutorial uses the Data Drift, Numerical Target Drift, and Regression Performance reports.