[atheriel]

Our organization looks similar: models are almost all written in R but the business operates in C#. We just use simple HTTP APIs to intermediate. Specifically, we do the following:

1. Use R packages to bundle up the models with a consistent interface.

2. Create thin Plumber APIs that wrap these packages/models.

3. Build Docker images from these APIs.

4. Deploy API containers to a Docker Swarm (but you could use any orchestration).

5. Stick Nginx in front of them to get pretty, human-readable routes.

6. Call the models via HTTP from C#.

This stack works pretty well for us. Response times are generally fast and throughput is acceptable. And the speed at which we can get models into production is massively better than when we used to semi-manually translate model code to C#...

Probably the biggest issue was getting everyone on board with a standard process and API design, after a few iterations. And putting in place all the automation/process/culture to help data teams write robust, production-ready software.