Move from dockerhub to quay.io

See jupyterhub/team-compass#688
for context.

I've also added `QUAY_USERNAME` and `QUAY_PASSWORD` to environment
secrets, but *not* `env.REGISTRY`. I will do so once this gets
merged.

.github/workflows/release.yml

@@ -119,17 +119,13 @@ jobs:
 
       - name: Setup push rights to Docker Hub
         # This was setup by...
-        # 1. Creating a Docker Hub service account "jupyterhubbot"
-        # 2. Creating a access token for the service account specific to this
-        #    repository: https://hub.docker.com/settings/security
-        # 3. Making the account part of the "bots" team, and granting that team
-        #    permissions to push to the relevant images:
-        #    https://hub.docker.com/orgs/jupyterhub/teams/bots/permissions
-        # 4. Registering the username and token as a secret for this repo:
-        #    https://github.com/jupyterhub/jupyterhub/settings/secrets/actions
+        # 1. Creating a [Robot Account](https://quay.io/organization/jupyterhub?tab=robots) in the JupyterHub
+        # .  quay.io org
+        # 2. Giving it enough permissions to push to the jupyterhub and singleuser images
+        # 3. Putting the robot account's username and password in GitHub actions environment
         if: env.REGISTRY != 'localhost:5000/'
         run: |
-          docker login -u "${{ secrets.DOCKERHUB_USERNAME }}" -p "${{ secrets.DOCKERHUB_TOKEN }}"
+          docker login -u "${{ secrets.QUAY_USERNAME }}" -p "${{ secrets.QUAY_PASSWORD }}" "${{ env.REGISTRY }}"
 
       # image: jupyterhub/jupyterhub
       #

Dockerfile

@@ -6,18 +6,18 @@
 #
 # Option 1:
 #
-# FROM jupyterhub/jupyterhub:latest
+# FROM quay.io/jupyterhub/jupyterhub:latest
 #
 # And put your configuration file jupyterhub_config.py in /srv/jupyterhub/jupyterhub_config.py.
 #
 # Option 2:
 #
 # Or you can create your jupyterhub config and database on the host machine, and mount it with:
 #
-# docker run -v $PWD:/srv/jupyterhub -t jupyterhub/jupyterhub
+# docker run -v $PWD:/srv/jupyterhub -t quay.io/jupyterhub/jupyterhub
 #
 # NOTE
-# If you base on jupyterhub/jupyterhub-onbuild
+# If you base on quay.io/jupyterhub/jupyterhub-onbuild
 # your jupyterhub_config.py will be added automatically
 # from your docker directory.
 

README.md

@@ -14,7 +14,7 @@
 [![Latest conda-forge version](https://img.shields.io/conda/vn/conda-forge/jupyterhub?logo=conda-forge)](https://anaconda.org/conda-forge/jupyterhub)
 [![Documentation build status](https://img.shields.io/readthedocs/jupyterhub?logo=read-the-docs)](https://jupyterhub.readthedocs.org/en/latest/)
 [![GitHub Workflow Status - Test](https://img.shields.io/github/workflow/status/jupyterhub/jupyterhub/Test?logo=github&label=tests)](https://github.com/jupyterhub/jupyterhub/actions)
-[![DockerHub build status](https://img.shields.io/docker/build/jupyterhub/jupyterhub?logo=docker&label=build)](https://hub.docker.com/r/jupyterhub/jupyterhub/tags)
+[![Docker Repository on Quay](https://quay.io/repository/jupyterhub/jupyterhub/status "Docker Repository on Quay")](https://quay.io/repository/jupyterhub/jupyterhub)
 [![Test coverage of code](https://codecov.io/gh/jupyterhub/jupyterhub/branch/main/graph/badge.svg)](https://codecov.io/gh/jupyterhub/jupyterhub)
 [![GitHub](https://img.shields.io/badge/issue_tracking-github-blue?logo=github)](https://github.com/jupyterhub/jupyterhub/issues)
 [![Discourse](https://img.shields.io/badge/help_forum-discourse-blue?logo=discourse)](https://discourse.jupyter.org/c/jupyterhub)
@@ -160,18 +160,18 @@ To start the Hub on a specific url and port `10.0.1.2:443` with **https**:
 
 ## Docker
 
-A starter [**docker image for JupyterHub**](https://hub.docker.com/r/jupyterhub/jupyterhub/)
+A starter [**docker image for JupyterHub**](https://quay.io/repository/jupyterhub/jupyterhub)
 gives a baseline deployment of JupyterHub using Docker.
 
-**Important:** This `jupyterhub/jupyterhub` image contains only the Hub itself,
+**Important:** This `quay.io/jupyterhub/jupyterhub` image contains only the Hub itself,
 with no configuration. In general, one needs to make a derivative image, with
 at least a `jupyterhub_config.py` setting up an Authenticator and/or a Spawner.
 To run the single-user servers, which may be on the same system as the Hub or
 not, Jupyter Notebook version 4 or greater must be installed.
 
 The JupyterHub docker image can be started with the following command:
 
-    docker run -p 8000:8000 -d --name jupyterhub jupyterhub/jupyterhub jupyterhub
+    docker run -p 8000:8000 -d --name jupyterhub quay.io/jupyterhub/jupyterhub jupyterhub
 
 This command will create a container named `jupyterhub` that you can
 **stop and resume** with `docker stop/start`.

demo-image/Dockerfile

@@ -3,7 +3,7 @@
 # This should only be used for demo or testing and not as a base image to build on.
 #
 # It includes the notebook package and it uses the DummyAuthenticator and the SimpleLocalProcessSpawner.
-ARG BASE_IMAGE=jupyterhub/jupyterhub-onbuild
+ARG BASE_IMAGE=quay.io/jupyterhub/jupyterhub-onbuild
 FROM ${BASE_IMAGE}
 
 # Install the notebook package

docs/source/faq/troubleshooting.md

@@ -46,13 +46,13 @@ things like inspect other users' servers or modify the user list at runtime).
 ### JupyterHub Docker container is not accessible at localhost
 
 Even though the command to start your Docker container exposes port 8000
-(`docker run -p 8000:8000 -d --name jupyterhub jupyterhub/jupyterhub jupyterhub`),
+(`docker run -p 8000:8000 -d --name jupyterhub quay.io/jupyterhub/jupyterhub jupyterhub`),
 it is possible that the IP address itself is not accessible/visible. As a result,
 when you try http://localhost:8000 in your browser, you are unable to connect
 even though the container is running properly. One workaround is to explicitly
 tell Jupyterhub to start at `0.0.0.0` which is visible to everyone. Try this
 command:
-`docker run -p 8000:8000 -d --name jupyterhub jupyterhub/jupyterhub jupyterhub --ip 0.0.0.0 --port 8000`
+`docker run -p 8000:8000 -d --name jupyterhub quay.io/jupyterhub/jupyterhub jupyterhub --ip 0.0.0.0 --port 8000`
 
 ### How can I kill ports from JupyterHub-managed services that have been orphaned?
 
@@ -347,12 +347,12 @@ In order to resolve this issue, there are two potential options.
 
 ### Where do I find Docker images and Dockerfiles related to JupyterHub?
 
-Docker images can be found at the [JupyterHub organization on DockerHub](https://hub.docker.com/u/jupyterhub/).
-The Docker image [jupyterhub/singleuser](https://hub.docker.com/r/jupyterhub/singleuser/)
+Docker images can be found at the [JupyterHub organization on quay.io](https://quay.io/organization/jupyterhub).
+The Docker image [jupyterhub/singleuser](https://quay.io/repository/jupyterhub/singleuser)
 provides an example single-user notebook server for use with DockerSpawner.
 
 Additional single-user notebook server images can be found at the [Jupyter
-organization on DockerHub](https://hub.docker.com/r/jupyter/) and information
+organization on quay.io](https://quay.io/organization/jupyter) and information
 about each image at the [jupyter/docker-stacks repo](https://github.com/jupyter/docker-stacks).
 
 ### How can I view the logs for JupyterHub or the user's Notebook servers when using the DockerSpawner?

docs/source/howto/separate-proxy.md

@@ -70,7 +70,7 @@ need to configure the options there.
 ## Docker image
 
 You can use [jupyterhub configurable-http-proxy docker
-image](https://hub.docker.com/r/jupyterhub/configurable-http-proxy/)
+image](https://quay.io/repository/jupyterhub/configurable-http-proxy)
 to run the proxy.
 
 ## See also

docs/source/tutorial/quickstart-docker.md

@@ -1,9 +1,9 @@
 # Install JupyterHub with Docker
 
-The JupyterHub [docker image](https://hub.docker.com/r/jupyterhub/jupyterhub/) is the fastest way to set up Jupyterhub in your local development environment.
+The JupyterHub [docker image](https://quay.io/repository/jupyterhub/jupyterhub) is the fastest way to set up Jupyterhub in your local development environment.
 
 :::{note}
-This `jupyterhub/jupyterhub` docker image is only an image for running
+This `quay.io/jupyterhub/jupyterhub` docker image is only an image for running
 the Hub service itself. It does not provide the other Jupyter components,
 such as Notebook installation, which are needed by the single-user servers.
 To run the single-user servers, which may be on the same system as the Hub or
@@ -24,7 +24,7 @@ You should have [Docker] installed on a Linux/Unix based system.
 To pull the latest JupyterHub image and start the `jupyterhub` container, run this command in your terminal.
 
 ```
-docker run -d -p 8000:8000 --name jupyterhub jupyterhub/jupyterhub jupyterhub
+docker run -d -p 8000:8000 --name jupyterhub quay.io/jupyterhub/jupyterhub jupyterhub
 ```
 
 This command exposes the Jupyter container on port:8000. Navigate to `http://localhost:8000` in a web browser to access the JupyterHub console.

examples/service-fastapi/Dockerfile

@@ -1,9 +1,9 @@
-FROM jupyterhub/jupyterhub
+FROM quay.io/jupyterhub/jupyterhub
 
-# Create test user (PAM auth) and install single-user Jupyter 
+# Create test user (PAM auth) and install single-user Jupyter
 RUN useradd testuser --create-home --shell /bin/bash
 RUN echo 'testuser:passwd' | chpasswd
-RUN pip install jupyter 
+RUN pip install jupyter
 
 COPY app ./app
 COPY jupyterhub_config.py .

onbuild/Dockerfile

@@ -4,7 +4,7 @@
 #
 # Derivative images must have jupyterhub_config.py next to the Dockerfile.
 
-ARG BASE_IMAGE=jupyterhub/jupyterhub:latest
+ARG BASE_IMAGE=quay.io/jupyterhub/jupyterhub:latest
 FROM $BASE_IMAGE
 
 ONBUILD COPY jupyterhub_config.py /srv/jupyterhub/jupyterhub_config.py

onbuild/README.md

@@ -2,7 +2,7 @@
 
 If you base a Dockerfile on this image:
 
-    FROM jupyterhub/jupyterhub-onbuild:1.4.0
+    FROM quay.io/jupyterhub/jupyterhub-onbuild:1.4.0
     ...
 
 then your `jupyterhub_config.py` adjacent to your Dockerfile will be loaded into the image and used by JupyterHub.

singleuser/Dockerfile

@@ -1,7 +1,7 @@
 # Build as jupyterhub/singleuser
 # Run with the DockerSpawner in JupyterHub
 
-ARG BASE_IMAGE=jupyter/base-notebook
+ARG BASE_IMAGE=quay.io/jupyter/base-notebook
 FROM $BASE_IMAGE
 MAINTAINER Project Jupyter <[email protected]>