In this case, we will use the rocker/shiny-verse base image. The Dockerfile specifies which dependencies and R packages to install when building a Docker image. In order to follow the steps in this tutorial, you will need to have R, RStudio and Docker installed on your machine as well as a Google account. In this guide, we will dockerize and deploy a Shiny dashboard on Google Cloud Run. In this scenario, you will need to containerize your app using Docker and look for hosting elsewhere.ĭocker is a powerful and widely used tool that lets developers bundle and isolate code, settings and dependencies together so that applications are able to run the same way in any compute environment. For instance, some apps may require various system dependencies not supported by shinyapps.io. There are, however, some limitations to this option. In some cases, it may be convenient to deploy your work on shinyapps.io directly from within RStudio either on the free or paid plans.

However, for others to access and benefit from your work, you will need to think about where to deploy you application.

Shiny apps and dashboards are highly versatile tools that allow end users to interact with data in various ways while app functionality is supported by R code running behind the scenes. A step-by-step guide to bringing Shiny to the cloud

Rstudio gcp