On Thu, Feb 13, 2020 at 5:28 AM Aakash Sharma <[email protected]> wrote:
>
> Hi I understand jupyterhub has a docker spawner that will give a container 
> per user and isolate so users do not interfere their work. But if we wish to 
> have a kaggle kernel like feature that for each notebook we spawn a container 
> import required packages library build the environment and assign to user. 
> Essentially multiple containers spawned with required dependencies and 
> assigned to user. How it may be achieved. Thx, aakash
>

I believe we started on that direction with our Docker support on
Jupyter Enterprise Gateway, but ended up making a more `docker swarm`
support: 
https://jupyter-enterprise-gateway.readthedocs.io/en/latest/kernel-docker.html

This would enable each kernel to run as an individual docker container.

We also have support for Kubernetes, which in combination with
JupyterHub can give you pretty much what you describe above:

https://jupyter-enterprise-gateway.readthedocs.io/en/latest/kernel-kubernetes.html


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Luciano Resende
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