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Dev deployment of pangeo jupyterhubs #441
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I would love to test out some hopefully-improved "base" environments for pangeo somewhere. The current "base" pangeo environment is quite fragile, with a pool of five channels to pull from and numerous pinned package versions. Instead, the environment can use conda-forge except for a few specific packages (e.g. intake, holoviews), which removes the need for pinning. We have a version with the same packages as the current pangeo.pydata.org, and a version with pyviz included These containers end up being about 0.5GB larger than the existing containers (3GB->3.5GB):
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Would one approach be for @dsludwig (or someone) to create a |
A new dev instance setup here: https://github.com/pangeo-data/dev.pangeo.io-deploy |
@rsignell-usgs you have write privileges to that repository
…On Tue, Oct 23, 2018 at 6:27 PM Derek Ludwig ***@***.***> wrote:
A new dev instance setup here:
https://github.com/pangeo-data/dev.pangeo.io-deploy
The branch develop deploys to dev.pangeo.io, stagingdeploys to
staging.pangeo.ioandproddeploys tohub.pangeo.io`.
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This is done so I'm going to close. |
We are now creating many pangeos. This is great! But unlike when we all shared a single JupyterHub, we don't have a centralized place to test out new functionality.
This has come up in conversation with @yuvipanda in #401 and @rsignell-usgs in #145 (among other places).
My thought is that a dev/demo cluster would be of use to those of us actively developing/testing generic pangeo topics. It may also help us centralize our development whilst democratizing our deployments.
Thoughts from concerned parties (@dsludwig, @yuvipanda, @mrocklin, @rsignell-usgs, @rabernat)?
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