Amazon SageMaker Workflows - Amazon SageMaker

Amazon SageMaker Workflows

You can manage your Amazon SageMaker training and inference workflows using the Amazon SageMaker Python SDK. With the available tools, you can simplify your Amazon SageMaker process and integrate it into your existing project.

Following are the supported workflow technologies.

  • Airflow Workflows: Amazon SageMaker APIs to export configurations for creating and managing Airflow workflows.

  • Kubernetes Orchestration: Amazon SageMaker custom operators for your Kubernetes cluster, as well as custom components for Kubeflow Pipelines.

  • AWS Step Functions: Create multi-step machine learning workflows in Python that orchestrate Amazon SageMaker infrastructure without having to provision your resources separately.

For more information on managing Amazon SageMaker training and inference, see Amazon SageMaker Python SDK Workflows.