What sort of integration is possible with ClearML and SageMaker? On the page describing ClearML Remote it says:

Create a remote development environment (e.g. AWS SageMaker, GCP CoLab, etc.) on any on-prem machine or any cloud.

But the only mention of SageMaker I see in the docs is the release notes for 0.13 saying "Add support for SageMaker".

I have SageMaker Studio up and running with access to my ClearML server and it's successfully able to log plots and scalars from experiments, but in terms of code it just logs the code used to launch the kernel:

"""Entry point for launching an IPython kernel.
This is separate from the ipykernel package so we can avoid doing imports until
after removing the cwd from sys.path.
"""
import sys

if __name__ == '__main__':
    # Remove the CWD from sys.path while we load stuff.
    # This is added back by InteractiveShellApp.init_path()
    if sys.path[0] == '':
        del sys.path[0]
    from ipykernel import kernelapp as app
    app.launch_new_instance()

Is it possible to capture more than that while using SageMaker?