Dockerfiles for R and Python sessions and jobs to be used RStudio Server Pro, Launcher, and Kubernetes.
The Docker images built from these Dockerfiles are intended to be used for R and Jupyter sessions and jobs with RStudio Server Pro (RSP), Launcher, and Kubernetes.
Note: These Docker images are not equipped or intended to be used to run RStudio Server Pro within a Docker container. Visit the rstudio/rstudio-docker-products repository for images built for that purpose.
For more information about RStudio Server Pro and Launcher, refer to the Launcher Overview on the RStudio Solutions website.
For more information about how to use these images with RStudio Server Pro and Launcher, refer to the RStudio support article on Using Docker images with RStudio Server Pro, Launcher, and Kubernetes.
Built images are available from the rstudio/r-session-complete repository on Docker Hub.
These images include the following layers:
When builds on master are passing and you are ready to release a new version of the image on Docker Hub, you can tag a release on master using the following steps:
Bump versions of RSP session components in Dockerfiles in a PR, merge when the build passes
Run the following commands on the master branch, editing the version string
as needed (where 1.3.XXXX-X is the RSP version):
export VERSION=1.3.XXXX-X
git commit -am "Release for image version ${VERSION}" --allow-empty
git tag -a ${VERSION} -m "${VERSION}"
git push origin ${VERSION}
git push
Note: Add the -preview suffix to tagged images that correspond to preview
release versions of RSP. Images related to preview builds are intended for
testing purposes, subject to being removed, do not fall under our support
agreement, and are not recommended for use in production.
The new images will get built on Travis CI and get pushed to the rstudio/r-session-complete repository on Docker Hub.
Content type
Image
Digest
Size
709.8 MB
Last updated
over 5 years ago
docker pull colearendt/r-session