I would suggest reading
http://zero-to-jupyterhub.readthedocs.io/en/latest/ recently announce
on our blog: 
http://blog.jupyter.org/2017/06/29/introducing-the-helm-chart-for-jupyterhub-deployment-with-kubernetes/

You'll get instruction on how to deploy a hub on google cloud in ~30
minutes. Google cloud offers you $300 free when you sign up which
should easily last you a year. Otherwise why not attempt to use binder
(the beta version is super fast and should stabilize soon:

https://beta.mybinder.org/

-- 
M

On Thu, Jul 13, 2017 at 1:52 AM, Jason Stedman <[email protected]> wrote:
> Karthik,
>
> We run classes using JupyterHub where I work.
>
> Unfortunately to do this at classroom scale takes significant memory 
> resources. The smallest one can really get away with is 1GB of server ram per 
> user. This means if you have even a small class of 15 students, you really 
> need a 16GB server minimum to host a JupyterHub environment.
>
> This is well beyond the free tier offerings of any cloud provider.
>
> If you are only concerned about sharing the notebooks themselves, I would 
> suggest continuing to have each user run their own Jupyter server using 
> Docker and have the base image include git or wget so the users can download 
> your notebooks from the free hosting options that do exist.
>
> If you do have local or cloud hosted resources(or budget) with sufficient 
> memory available then you are just looking at Docker and network 
> configuration to expose the hub to the local network or internet. You would 
> then need to obtain a certificate for https which is pretty much required, 
> but can be obtained for free from a few good sources.
>
> I hope this helps put things in perspective.
>
> Jason
>
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