aws-samples/sagemaker-ssh-helper
A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)
This tool helps machine learning engineers and data scientists debug and troubleshoot their code running on Amazon SageMaker. It allows you to get a terminal session directly into SageMaker training jobs, processing jobs, batch inference, or real-time endpoints, or even connect your local IDE for remote debugging. You can feed your SageMaker job ID into this tool, and it provides a secure connection to the underlying container, enabling interactive problem-solving and access to auxiliary tools.
257 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to quickly diagnose why a SageMaker training job is stuck, debug a model's inference behavior, or access tools like Dask dashboards or TensorBoard running inside your SageMaker environment.
Not ideal if your organization's security policies strictly disallow SSH access into cloud environments or if you are not working with Amazon SageMaker.
Stars
257
Forks
34
Language
Python
License
MIT-0
Category
Last pushed
Jul 07, 2025
Commits (30d)
0
Dependencies
4
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