I think there is a need for deployment approaches for both: feature engineering and modeling. For example, please consider feature scaling and case when the mea

I think there is a need for deployment approaches for both: feature engineering and modeling. For example, please consider feature scaling and case when the mean of the feature is drifting. Then the feature engineering and probably ML model needs to be updated. I'm not aware of ready solutions for such problems.