Set up path-based routing with Traefik and Docker for Python and R services, then add centralized authentication with Forward Authentication.

A FastAPI web service dispatches tasks to Celery and RServe workers, with Redis as broker and store, running on Docker Compose and Kubernetes.

Build a Linux development environment on Windows with WSL, then run an RServe web service with a sidecar container on Minikube as the example app.

Render htmlwidgets inside a Vue.js application, then replace those widgets with native JavaScript libraries for performance async Shiny cannot reach.

Implement the async feature of R Shiny and find its limits, measured against an alternative app with a JavaScript frontend and an RServe backend.

Deploy plumber, RServe and rApache APIs in Docker containers, then compare the three R API options on example requests and response performance.

Serve an R function as an API three ways, with plumber, RServe and rApache, and see what each option asks of the developer to set up.

Host the web application that calls an R machine learning model on Amazon S3, so both the front end and the Lambda backend run without a server.

Expose an R machine learning model packaged in AWS Lambda through Amazon API Gateway, giving the model a callable HTTP endpoint on AWS.

Deploy an R machine learning model to AWS Lambda and call it without managing a server.