dhi.io/jupyterhub-k8s-hub
JupyterHub hub component for Zero to JupyterHub on Kubernetes, with Kubespawner and authenticators.
All examples in this guide use the public image. If you've mirrored the repository for your own use (for example, to your Docker Hub namespace), update your commands to reference the mirrored image instead of the public one.
For example:
dhi.io/<repository>:<tag><your-namespace>/dhi-<repository>:<tag>For the examples, you must first use docker login dhi.io to authenticate to the registry to pull the images.
This image provides the JupyterHub hub process used by Zero to JupyterHub on Kubernetes (Z2JH). For full configuration, authentication, and spawner options, see the JupyterHub documentation and the Z2JH configuration reference.
The default container entrypoint is tini followed by jupyterhub with a bundled
config file. To run jupyterhub subcommands such as --version or --help, invoke the interpreter in the virtual
environment directly:
docker run --rm \
--entrypoint /opt/jupyterhub/.venv/bin/jupyterhub \
dhi.io/jupyterhub-k8s-hub:4.3.3-debian13 \
--version
Deploy JupyterHub with the Z2JH Helm chart and point the hub deployment at this image. Set hub.image.name and
hub.image.tag to a tag that matches your chart line (see the Tags tab for this repository). For example:
hub:
image:
name: dhi.io/jupyterhub-k8s-hub
tag: 4.3.3-debian13
The chart defaults assume the upstream quay.io/jupyterhub/k8s-hub image runs as UID and GID 1000. This Docker
Hardened Image runs as the nonroot user (65532 / 65532). Override the hub pod security context so the process
identity matches the image, for example:
hub:
podSecurityContext:
fsGroup: 65532
containerSecurityContext:
runAsUser: 65532
runAsGroup: 65532
Adjust other chart fields (database, proxy, singleuser images, and hub.config) per your environment; see
Z2JH for the full workflow.
| Variable | Description |
|---|---|
JUPYTERHUB_VERSION | JupyterHub application version in this image. |
| Path | Purpose |
|---|---|
/usr/local/etc/jupyterhub/jupyterhub_config.py | Default config path used by the container cmd. The chart usually mounts generated config here. |
/srv/jupyterhub | Working directory for hub state (for example SQLite when used). |
8081/tcp | Default hub listen port. |
| Topic | quay.io/jupyterhub/k8s-hub (upstream) | This image |
|---|---|---|
| Base | Upstream-built image | Minimal Debian-based hardened runtime |
| User | Chart defaults target UID/GID 1000 | nonroot (65532); chart security context must be aligned (see above) |
| Shell | May include tooling typical of upstream | Runtime image has no shell; use Docker Debug for inspection |
| Entry | Defined by upstream image | tini plus jupyterhub and default config path (see Verify the image) |
Docker Hardened Images come in different variants depending on their intended use. Image variants are identified by their tag.
Runtime variants are designed to run your application in production. These images are intended to be used either
directly or as the FROM image in the final stage of a multi-stage build. These images typically:
Build-time variants typically include dev in the tag name and are intended for use in the first stage of a
multi-stage Dockerfile. These images typically:
FIPS variants include fips in the variant name and tag. They come in both runtime and build-time variants. These
variants use cryptographic modules that have been validated under FIPS 140, a U.S. government standard for secure
cryptographic operations. For example, usage of MD5 fails in FIPS variants.
To view the image variants and get more information about them, select the Tags tab for this repository, and then select a tag.
To migrate your application to a Docker Hardened Image, you must update your Dockerfile. At minimum, you must update the base image in your existing Dockerfile to a Docker Hardened Image. This and a few other common changes are listed in the following table of migration notes.
| Item | Migration note |
|---|---|
| Base image | Replace your base images in your Dockerfile with a Docker Hardened Image. |
| Package management | Non-dev images, intended for runtime, don't contain package managers. Use package managers only in images with a dev tag. |
| Non-root user | By default, non-dev images, intended for runtime, run as the nonroot user. Ensure that necessary files and directories are accessible to the nonroot user. |
| Multi-stage build | Utilize images with a dev tag for build stages and non-dev images for runtime. For binary executables, use a static image for runtime. |
| TLS certificates | Docker Hardened Images contain standard TLS certificates by default. There is no need to install TLS certificates. |
| Ports | Non-dev hardened images run as a nonroot user by default. As a result, applications in these images can't bind to privileged ports (below 1024) when running in Kubernetes or in Docker Engine versions older than 20.10. To avoid issues, configure your application to listen on port 1025 or higher inside the container. |
| Entry point | Docker Hardened Images may have different entry points than images such as Docker Official Images. Inspect entry points for Docker Hardened Images and update your Dockerfile if necessary. |
| No shell | By default, non-dev images, intended for runtime, don't contain a shell. Use dev images in build stages to run shell commands and then copy artifacts to the runtime stage. |
The following steps outline the general migration process.
Find hardened images for your app.
A hardened image may have several variants. Inspect the image tags and find the image variant that meets your needs.
Update the base image in your Dockerfile.
Update the base image in your application's Dockerfile to the hardened image you found in the previous step. For
framework images, this is typically going to be an image tagged as dev because it has the tools needed to install
packages and dependencies.
For multi-stage Dockerfiles, update the runtime image in your Dockerfile.
To ensure that your final image is as minimal as possible, you should use a multi-stage build. All stages in your
Dockerfile should use a hardened image. While intermediary stages will typically use images tagged as dev, your
final runtime stage should use a non-dev image variant.
Install additional packages
Docker Hardened Images contain minimal packages in order to reduce the potential attack surface. You may need to install additional packages in your Dockerfile. Inspect the image variants to identify which packages are already installed.
Only images tagged as dev typically have package managers. You should use a multi-stage Dockerfile to install the
packages. Install the packages in the build stage that uses a dev image. Then, if needed, copy any necessary
artifacts to the runtime stage that uses a non-dev image.
For Alpine-based images, you can use apk to install packages. For Debian-based images, you can use apt-get to
install packages.
The following are common issues that you may encounter during migration.
The hardened images intended for runtime don't contain a shell nor any tools for debugging. The recommended method for debugging applications built with Docker Hardened Images is to use Docker Debug to attach to these containers. Docker Debug provides a shell, common debugging tools, and lets you install other tools in an ephemeral, writable layer that only exists during the debugging session.
By default image variants intended for runtime, run as the nonroot user. Ensure that necessary files and directories are accessible to the nonroot user. You may need to copy files to different directories or change permissions so your application running as the nonroot user can access them.
Non-dev hardened images run as a nonroot user by default. As a result, applications in these images can't bind to
privileged ports (below 1024) when running in Kubernetes or in Docker Engine versions older than 20.10. To avoid issues,
configure your application to listen on port 1025 or higher inside the container, even if you map it to a lower port on
the host. For example, docker run -p 80:8080 my-image will work because the port inside the container is 8080, and
docker run -p 80:81 my-image won't work because the port inside the container is 81.
By default, image variants intended for runtime don't contain a shell. Use dev images in build stages to run shell
commands and then copy any necessary artifacts into the runtime stage. In addition, use Docker Debug to debug containers
with no shell.
Docker Hardened Images may have different entry points than images such as Docker Official Images. Use docker inspect
to inspect entry points for Docker Hardened Images and update your Dockerfile if necessary.