Please look at Jupyter Enterprise Gateway, we have enable some of this and
are currently supporting running remote kernels in Spark clusters.

https://github.com/jupyter-incubator/enterprise_gateway

On Mon, Oct 30, 2017 at 11:30 AM, Shiti Saxena <[email protected]> wrote:

> Hi,
>
> We want to make KernelSpecManager and kernel_manager_class configurable at
> run-time. This gives users flexibility to customize how Kernelspecs are
> fetched and how kernels are started.
>
> Thanks,
> Shiti
>
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-- 
Luciano Resende
http://twitter.com/lresende1975
http://lresende.blogspot.com/

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