Self-contained Shiny app

This creates a dedicated Docker container that has all the libraries, files and scripts necessary to run your Shiny app. This example uses a local Dockerfile to install the libraries you need, but in addition also copies your Shiny app scripts so its all self-contained and portable.

The Shiny app can then be deployed on new instances.

In summary:

  1. Create a Dockerfile including copying the Shiny app into the Docker image
  2. Use build triggers or docker_build() to create and push your Shiny image to Google container registry
  3. Start up a Shiny templated Google Compute Engine VM calling your custom Shiny image
  4. Enjoy your Shiny app

Once built, you can deploy straight from the Container Registry, so not necessarily needing steps 1 and 2.

Google Container Registry - Build Triggers

You can use build triggers from Google Container Registry to build the docker image.

This is typically done by pushing up to a GitHub repository with your Dockerfile, which triggers a build. You can then construct the name of this docker image directly using gce_tag_container, for use in a Shiny templated gce_vm call.

Create a Dockerfile in build folder, including copying the Shiny app into the Docker image

The Dockerfile includes a COPY command to copy necessary Shiny files such as ui.R and server.R into the Docker image.

The Shiny app example below is the googleAuthR demo app, and the build directory can be found via: get_dockerfolder("shiny-googleAuthRdemo")

The COPY command copies from a folder in the same location as the Dockerfile, and then places it within the /srv/shiny-server/ folder which is the default location for Shiny apps. This location means that the Shiny app will be avialable at xxx.xxx.xxx.xxx/myapp/

The example Dockerfile above installs googleAuthR from CRAN, googleID from GitHub and a Debian dependency for googleAuthR that is needed, libssl-dev via apt-get. Modify this for your own needs.

Public Docker images

The FROM field could be a previously made image you or someone else has already created, allowing you to layer on top. The above example is available via a public Google Continer Registry window, made for this purpose, which you can see here: https://console.cloud.google.com/gcr/images/gcer-public?project=gcer-public

The shiny-googleauthrdemo is the Dockerfile above - the name for this can be created via the gce_tag_container() function:

library(googleComputeEngineR)
gce_tag_container("shiny-googleauthrdemo", project = "gcer-public")

This can then be added to your Dockerfile:

Hopefully more images can be added in the future, along with community contributions. They are rebuilt every commit to the googleComputeEngineR GitHub repo.

Create your Shiny app and place in subfolder of your build folder

Once you have the Dockerfile, place it into a folder with this structure alongside your Shiny app:

|
|- /appname/
   |
   |- ui.R
   |- server.R
| Dockerfile

The file structure for this build is then:

Build your Shiny app Docker image

You have a few options here:

  • Build the Dockerfile image by pushing up to a GitHub repo with a set up build trigger
  • Build locally or within a custom GCE image using docker_build
  • Use a premade Shiny app that someone else has created

Building images may take 10mins or so, especially if its the first layer of the image.

Start up a Shiny templated Google Compute Engine VM with your custom image

Start up a Shiny templated image, which makes sure the right ports are open etc. but also supply the dynamic_image argument pointing at the Docker image you have built in previous step.

Re-deploy already built Shiny app to another VM

Now you have a built app, you can deploy it to other instances simply by specifying the build shiny image. If using the recommended Build trigger method, you can specify development or production folders in your GitHub repository. You will need to restart a Shiny VM to load the latest build.

Tidy up

Clean up the VMs to avoid unnecessary costs: