David Smith has a demo for us:
It’s important to note that the model prediction is not being generated by the Shiny app: rather, it’s being generated by an Azure Function running R in the cloud. That means you could integrate the model estimate into any application written in any language: a mobile app, or an IoT service, or anything that can call an HTTP endpoint. Furthermore, you don’t need to worry how many apps are running or how often estimates will be requested by the app: Azure Functions will automatically scale to meet the demand as needed.
Read the whole thing. Given that R isn’t naturally supported by Azure Functions, I think this is quite interesting.