Comments (3)
How do you think this would this work in a centralized model registry located in another AWS Account? Would the MLFlow server just be located in the same AWS Account as the model registry, then the MLFlow tracking server be referenced in each related sagemaker domain(s) in
dev, qa, prod
?
In my preferred solution the MLFlow tracking server operates within a centralized model registry AWS account and is accessed as mentioned by SageMaker domains located in various AWS accounts. However, it seems that the SageMaker MLFlow tracking server does not (yet?) support IAM resource policies, which would facilitate convenient cross-account access. Hence, one would either need to utilize sts:AssumeRole
(SageMaker job role assumes a mlflow role in the central model registry account before logging training runs) or come up with a custom synchronization approach in order to work in a cross-account setup.
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How do you think this would this work in a centralized model registry located in another AWS Account? Would the MLFlow server just be located in the same AWS Account as the model registry, then the MLFlow tracking server be referenced in each related sagemaker domain(s) in dev, qa, prod
?
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