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Customer using devcontainers in vs code (.devcontainer.json) to manage environment, extensions, etc. when developing locally. Is there a way to use devconatiner with an Azure ML compute instance such that when they launch the compute it runs the same setup?
Customer using devcontainers in vs code (.devcontainer.json) to manage environment, extensions, etc. when developing locally. Is there a way to use devconatiner with an Azure ML compute instance such that when they launch the compute it runs the same setup?
https://code.visualstudio.com/docs/devcontainers/containers#_getting-started
Would like to ubblock customer, only one option is to deployed the custom app on the CI.
We may need the image details for this kingd of the scenario.
Could you share or guide from where we can get the image so that it will be deployed as custom app on azure machine learning compute instance
Are you connected to a proxy server? Yes/No
Steps to Reproduce:
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