Stop staying you can't put R in prod. 
I made a blog post with my thoughts and reactions.
https://josiahparry.com/posts/2023-07-06-r-is-still-fast.html
@josiah How about maintainability?
Never met a developer who liked R, and to put things into production, you have to work with devs.
The new people coming into data science all know python. Even among older data scientists, you rarely find one that prefers R (unless they're a statistician working in academia).
Who is going to maintain that code after the person who wrote it leaves for another company?
@orizuru Well when you start with a stance like that, that all people who program only know python thats a non-starter.
@orizuru Its a lot like how I was hired and I have to help edit / maintain C# tests. Even with your presumed stance of the world, its a pretty normal thing.
@josiah @orizuru Tbh, it is not a total presumption. I primarily work in #rstats and have faced the same issues.
The DevOps team told the same to one of my teammates. And the Plumber library had some authentication issues related to UMS2 IIRC.
We adapted databricks quickly and found a way to call the R scripts from a Python notebook.
Even on #Databricks, the support of R is so poor!
@orizuru @shibaprasad it’s absolutely terrible. Idk how you were using plumber on databricks though?? I gave them a whole slew of things to improve for R users. But they don’t care. Their customer facing team knows pandas and that’s it it feels like
@josiah @orizuru Haha kinda had the same experience. We had a 3 hours long interaction with them, they were clueless for most of the R stuffs. And our team mostly uses R. For ML-OR-Analytics, everything.
When we attended a hands-on workshop, the presenter said "R lovers, sorry to say, it is time to move on. It used to be cool but not anymore." (paraphrased)
@shibaprasad @orizuru nah. They’re wrong. They just don’t want to learn. It’s a defense mechanism for a bad platform. They’re stuck in 2011 with these notebooks.