Posted On: Apr 14, 2021
Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning (ML). SageMaker Studio provides a single, web-based visual interface where you can perform all ML development steps required to prepare, build, train and tune, deploy and manage models. With a single click, data scientists and developers can quickly spin up SageMaker Studio Notebooks for exploring datasets and building models. Starting today, you can use custom resource tags to track and categorize the costs of SageMaker Studio Notebooks by users, groups, lines of businesses, or cost centers.
A tag is a label that you assign to an Amazon Web Services resource. You can use tags to organize your resources by users, departments or cost centers, and track your costs on a detailed level. The cost allocation tags can be used for categorizing costs in Amazon Web Services cost management solutions such as Cost Explorer and Cost and Usage Reports. In SageMaker Studio, you can assign custom tags to both SageMaker Studio Domain and Users who are provisioned access to the domain. Starting today, SageMaker Studio will automatically copy and assign these tags to the SageMaker Studio Notebook Apps created by the users, so you can easily track and categorize the cost of Studio notebooks and create detailed cost chargeback models for your organization.
The feature is now available in both Amazon Web Services China (Beijing) Region, operated by Sinnet, and Amazon Web Services China (Ningxia) Region, operated by NWCD. The tags can be applied to Studio domain and users using Amazon CLI, Amazon SDK, and automated using the CloudFormation templates for SageMaker Studio. To learn more about SageMaker Studio visit the SageMaker user guide.