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Hey, can I give it a try unless someone from the team start working on this one?
If yes, I'd be afraid to be assigned as I don't want to prevent anybody else working on this at the same time.
But I'd like to know, In order to locally test the infrastructure & to make sure the DB migration is not breaking after bumping the version - do I need to also have credits in some cloud provider?
I'd apologize in advance in case I'm not approaching this correctly, please correct me in that case. Thanks 💐
Context
We're currently pinning
jupyter-scheduler
version to be lower than 2.6.0 to avoid jupyter-server/jupyter-scheduler#519. Since then, a new version has been released, addressing that particular issue: v2.7.0.We just need to make sure the DB migration is not breaking anything on our side.
Value and/or benefit
Keep up-to-date with newer versions of our dependencies.
Anything else?
I'm tagging @krassowski and @viniciusdc to keep them in the loop.
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