There are two ways to use Visual Studio Code with a remote Jupyter server:
This method works easily, and just requires installation of the VSCode CLI and use of Microsoft dev tunnels through either Microsoft or Github authentication. (See https://code.visualstudio.com/docs/remote/tunnels for details on remote tunnels.)
Launch a terminal window in your Kubeflow Notebook Server
Make sure you are in your home directory or where you want to install the vscode instance.
cd ~
Download and install code
curl -Lk '<https://code.visualstudio.com/sha/download?build=stable&os=cli-alpine-x64>' --output vscode_cli.tar.gz
tar -xf vscode_cli.tar.gz
then run it with the tunnel parameter and follow the instructions:
./code tunnel
This also will allow you to connect a locally installed Visual Studio Code IDE to the remote notebook server (using the Remote Explorer tab).
Install the Remote Explorer Extension in VS Code:
Click on the “><” icon in the lower-left corner of the screen.
Select Tunnel:
Click Allow when prompted to login to Github, and continue until you are logged in to Github.
In VS Code, select the Kubeflow Notebook that now appears in the list:
In the lower-left corner it will now indicate that you are connected to the remote Notebook server:
You can then open a Folder and begin working in the Kubeflow Notebook Server environment:
Upgrading to a newer version:
code and upload it to your Notebook server.