Hi,

@Luciano, these changes are not specific to starting/connecting with 
Spark/Yarn. 
These changes simplify running Kernel Gateway through app orchestration 
framework such as Docker/Kubernetes.

I've raised a PR for this https://github.com/jupyter/kernel_gateway/pull/266 
<https://github.com/jupyter/kernel_gateway/pull/266>

I would be happy to incorporate any feedback/suggestions.

Thanks,
Shiti



> On Oct 30, 2017, at 4:37 PM, Luciano Resende <[email protected]> wrote:
> 
> 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 
> <https://github.com/jupyter-incubator/enterprise_gateway>
> 
> On Mon, Oct 30, 2017 at 11:30 AM, Shiti Saxena <[email protected] 
> <mailto:[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
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