https://eugeneyan.com/writing/practical-guide-to-maintaining-machine-learning/
A Practical Guide to Maintaining Machine Learning in Production
“This follow-up will share some practices I’ve found useful to maintaining machine learning in production. They are: Monitor Training and Serving Data for Contamination, Monitor Models for Misbehaviour When Retraining, Simplify Engineering to Reduce Operational Burden, Useful Practices to Minimize Feedback Loops and Bias, Structure Teams for Iteration and Innovation, Crowdsource the Handling of Customer Complaints”