Jupyterhub server stops

[Santiago Sosa]

Hello, first of all thank you for your help. I've recently installed jupyterhub on a remote server, it appears to be working fine, the thing is that when I start the server using "sudo jupyterhub" it works fine until it goes down (the connection is refused by the server). So, everytime I want to use jupyter I need to go and start the jupyter server again.

I have modified my firewall this way to work with jupyter:

I really will appreciate if you could help me with this issue. And by the way, if you could tell me how can i bind the server to a domain (I mean for example: myweb.com:8000).

Let me know if you need any further information.

Thank you!

[Thomas Kluyver]

Hi Santiago,

On Thu, 25 Apr 2019 at 13:43, Santiago Sosa <santia...@gmail.com> wrote:

when I start the server using "sudo jupyterhub" it works fine until it goes down (the connection is refused by the server). So, everytime I want to use jupyter I need to go and start the jupyter server again.

It sounds like you want to set up a service on your system to run Jupyterhub. The details of how you do this can depend on the operating system, but there are some notes in a wiki page that might be useful:

https://github.com/jupyterhub/jupyterhub/wiki/Run-jupyterhub-as-a-system-service

Services can be configured to start automatically when the system boots, and to restart automatically if they crash.

Best wishes,

Thomas

[Santiago Sosa]

Thomas, thanks for your help, I managed to configure the service.

Another question: Is there anyway two different users could work on a same notebook file? I shouldnt be at the same time, but if possible, that would be cool too.

Thank you!

[samuel....@gmail.com]

Sun 2019-04-28 02:21:19 UTC, Santiago Sosa:

>

> Another question: Is there any way two different users could work

> on a same notebook file? It shouldn't be at the same time, but if

> possible, that would be cool too.

You might be interested in running a CoCalc instance.

  https://github.com/sagemathinc/cocalc-docker

This has an implementation of the Jupyter protocol that

allows collaborative work on notebook files.

[William Stein]

Thanks for mentioning CoCalc. You can also quickly try it out at
https://cocalc.com. It has realtime multiuser sync for
a new react-based implementation of the Jupyter client, and also for
Jupyter classic (embedded in an iframe). Our docs are here:

https://cocalc.com/doc/jupyter-notebook.html

and

https://doc.cocalc.com/jupyter.html

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