A plumber in front of your ML serving function running in a docker container. There, simple, fast enough. We have multiple R containers in production, it is wor

A plumber in front of your ML serving function running in a docker container. There, simple, fast enough. We have multiple R containers in production, it is working fine and the data scientist are happy that they can keep working in RStudio.