docker

Introduction For creating a production deployment of a {shiny} application it is often useful to be able to provide a Docker image that contains all the dependencies for that application. Here we explore how one might go about automating the creation of a Dockerfile that will allow us to build such an image for a {shiny} application. What is docker? Docker is an open source platform that enables developers to build, deploy and run containers, standardised executable components that combine application source code with the operating system libraries and dependencies required to run that code.

Maintaining training materials Over the last few years, we increased both the number and types of training courses we offer. In addition to our usual R courses in {dplyr} and {shiny}, we also offer training on Docker, Python, Stan, TensorFlow, and others. As the number of courses we offer increased, so did the maintenance burden of our associated training materials (lecture notes, slides, exercises, and more). To ease this burden, and to assist in ensuring that our training materials build consistently, we developed an R package called {jrNotes2}.