aws-controllers-k8s/sagemaker-controller
ACK service controller for Amazon SageMaker
This project helps MLOps engineers and machine learning practitioners manage Amazon SageMaker resources directly from Kubernetes. It allows you to define, deploy, and scale SageMaker machine learning models, training jobs, and endpoints using familiar Kubernetes commands and YAML configurations. The input is Kubernetes resource definitions, and the output is deployed and managed SageMaker infrastructure.
Use this if you are already using Kubernetes to manage your application infrastructure and want to integrate your SageMaker machine learning workflows into that same operational model.
Not ideal if you prefer to manage your SageMaker resources directly through the AWS Console, AWS CLI, or SageMaker SDK without involving Kubernetes.
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Language
Python
License
Apache-2.0
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Last pushed
Mar 12, 2026
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