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A BinderHub isn't the most useful platform for a research community - it generally lacks persistence (although you can rectify this by deploying the persistent_binderhub helm chart) and configuring safe git push/pull to any kind of repository is clunky.
A lot of work has been going on in the z2jh-k8s helm chart by 2i2c and other parties to make this a useful platform for research purposes.
Must-Have Features
Azure AD authentication, so everyone can log in with their turing.ac.uk account
We will need to provide user-facing docs clearly demonstrating how to generate a token from the command line and from a notebook, and clearly state that this token only lasts 8 hours.
Note: this example suggests pushing to quay.io, but a lot of other container registries are supported too, so we could push to the turinginst org on Docker Hub, for example
We probably want to start with an image like Pangeo's and then start crowd-sourcing a list of packages people actually want and provide them in our own image
Dynamic environment generation using repo2docker directly from JupyterHub
2i2c will be working on this feature sometime next year
TODOs
Tear down Hub23 the BinderHub
Deploy Hub23 the JupyterHub
Tearing down the BinderHub
Documentation to achieve this is available here and here
Hub23 and the Binder Federation deployment share the same cluster, so we may not want to totally delete the cluster... Or maybe we do and want to redeploy into the uksouth location while we have the opportunity. Up to you!
Clearing out the repo
Files we won't need (or will be creating new ones for JupyterHub):
Everything under the deploy/ folder
Everything under the hub23-chart/ folder (we should create a new local helm chart that has ingress-nginx, grafana and prometheus dependencies for monitoring)
Start enabling the features listed at the top of this issue!
Some of them will require editing config at the helm chart level, other things are just making sure the packages are installed in the hub environment and providing docs
Start promoting the hub in the Turing community, what it can do, and why it's useful
Teach people how to use nbgitpuller to sync git repositories to the JupyterHub
Here is a nice implementation of allowing specific GitHub Teams access to specific machine types via profileList (note this will eventually be upstreamed to the z2jh helm chart)
Summary
A BinderHub isn't the most useful platform for a research community - it generally lacks persistence (although you can rectify this by deploying the persistent_binderhub helm chart) and configuring safe git push/pull to any kind of repository is clunky.
A lot of work has been going on in the z2jh-k8s helm chart by 2i2c and other parties to make this a useful platform for research purposes.
Must-Have Features
Azure AD authentication, so everyone can log in with their turing.ac.uk accountDocs: https://zero-to-jupyterhub.readthedocs.io/en/latest/administrator/authentication.html#azure-active-directoryTuring IT will need to create a relevant app and provide the client ID and secret for that appNice-to-Have Features
Future Features
These features are still under active development and are not yet recommended for production deployment. But when they are, they'll be super awesome!
TODOs
Tearing down the BinderHub
uksouth
location while we have the opportunity. Up to you!Clearing out the repo
Files we won't need (or will be creating new ones for JupyterHub):
deploy/
folderhub23-chart/
folder (we should create a new local helm chart that has ingress-nginx, grafana and prometheus dependencies for monitoring).az-pipelines/cd.yaml
will need rewriting and temporarily disabling until we have the new deployment set up.github/workflows/bump-helm-version.yaml
docs/
folder as we go tooSetting up the new JupyterHub
basehub
for this: https://github.com/2i2c-org/infrastructure/tree/master/helm-charts/basehub.az-pipelines/cd.yaml
to get it running again, or....github/workflows/bump-helm-version.yaml
for new local helm chartNext Steps
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