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Application

AWS SageMaker

Amazon SageMaker is a machine learning service that enables you to create, train, deploy, and manage machine learning models.

AWS SageMaker

Amazon SageMaker is a machine learning service that enables you to create, train, deploy, and manage machine learning models.

AWS SageMaker enables you to do the following:

  • Connect to any AWS SageMaker endpoint from a single computer with secure login, which eliminates the need to provide authentication.
  • Integrate AWS SageMaker jobs with other Control-M jobs into a single scheduling environment.
  • Monitor the AWS SageMaker status and view the results in the Monitoring domain.
  • Attach an SLA job to your entire Azure SageMaker service.
  • Introduce all Control-M capabilities to AWS SageMaker, including advanced scheduling criteria, complex dependencies, quantitative and control resources, and variables.
  • Run 50 AWS SageMaker jobs simultaneously per Control-M/Agent.

Control-M integration for AWS SageMaker is available for these product versions:

  • Control-M 20.200 and later
  • BMC Helix Control-M 21 and later

Supporting Documentation

For more information on this integration, including how to create a connection profile and define a job, please visit:

Integrating AWS SageMaker and Control-M

Integrating BMC Helix Control-M and AWS SageMaker

Plugin Type

Machine Learning

Topic

Business & IT Automation

Publisher

BMC Software