RStudio Server is the premier integrated development environment for R that allows to move computation close to the data and scale compute and RAM centrally.
This is a pre-configured image with R and the open source edition of RStudio Server. The particular setup for this software uses the RStudio image from the Rocker project (Docker for R users).
Click the Deploy to DigitalOcean button to install a Kubernetes 1-Click Application. If you aren’t logged in, this link will prompt you to log in with your DigitalOcean account.
In addition to creating RStudio Kubernetes using the control panel, you can also use the DigitalOcean API. As an example, to create a 3 node DigitalOcean Kubernetes cluster made up of Basic Droplets in the SFO2 region, you can use the following
doctl command. You need to authenticate with
doctl with your API access token) and replace the
$CLUSTER_NAME variable with the chosen name for your cluster in the command below.
doctl kubernetes clusters create --size s-4vcpu-8gb $CLUSTER_NAME --1-clicks rstudio
Once you deploy this 1-click Kubernetes listing, verify that RStudio Server is running with
kubectl get pods -A. You should see a line similar to
rstudio rstudio-12345-67890 1/1 Running 0 99s.
Forward port 8787 with
kubectl -n rstudio port-forward deploy/rstudio 8787.
Log in to RStudio by visiting
localhost:8787. This Kubernetes instance uses rstudio for both user and password, to change that type
passwd rstudio in RStudio’s terminal.
Now you are ready to use RStudio Kubernetes!
Note: It is recommended a minimum of 2 nodes is required to prevent downtime during upgrades or maintenance.