Losing jupyter notebook ssh connection kills kernel

Question

I have an Ipython Jupyter kernel running on in an AWS VPN that I tunnel to a port my laptop where I connect to with a browser. I am finding that the kernel dies whenever I lose

Answer 1

Maybe resulting from your proxy？I have been troubled for one afternoon for that，because I use nginx proxy_pass fo my jupyter to proxy to that port. But it always didn't connect, i look through the docs of jupyter notebook and found that Jupter Proxy Issue
And i change to use nginx rewrite rather than proxy, it works. So in my case, it can be caused by proxy.

Answer 2

I admit that this seems odd. I wonder if there is something in the notebook that is killing the kernel. This can happen. You may have already done this, but try a really simple notebook, like a=10, drop the connection, and then see if you can print(a) after you recoennect.

However, the way to avoid the problem altogether is to use screen or tmux to create persistent sshs session. That is what many people who work on remote servers do.