The R suite of tools is the go-to choice for many ML/statistical modeling professionals. Sometimes models built using R live only through the prototype stage, converted into another technology for rollout into production. We wanted to explore the possibility of using R as more than just a prototyping tool, we wanted to see if we could deploy and use it in production as the workhorse for the ML/statistical models needed by a new application our team was building. We found success in our team through the use of plumber to turn the R models into REST endpoints and an infrastructure/JSON configuration scheme to enable rapid