In this new post, I explain how to deploy in an Azure WebApp a ShinyApps created with RStudio using Azure DevOps as repository and Docker as container. I wrote another post about dockerize Shiny Apps with command line.
For data scientists, ShinyApps offer the possibility to quickly create cute web applications also for prototyping. ShinyApps don't have security integrated. So, we have to find another way to add a security layer to our Shiny applications.
So, we will use ShinyProxy to add a security layer. This makes the deployment a bit harder but we will take advantage of that. The pipeline in Azure DevOps for ShinyProxy will be similar to the pipeline for a ShinyApp. I will show in this post how to create a Docker container for ShinyProxy and ShinyProxy.
This repository is related to the post "Deploy ShinyApps with Azure and Docker" on my blog PureSourceCode. The post is titled Deploy ShinyApps with Azure and Docker.
In this post I show how to customize your pipeline and other external files in Azure DevOps using variables from the Library https://www.puresourcecode.com/tools/azure-tools/customize-your-pipeline-in-azure-devops/