Amazon SageMaker Unified Studio now supports long-running sessions with corporate identities through AWS IAM Identity Center’s trusted identity propagation (TIP) capability. This feature enables data scientists, data engineers, and analytics professionals to achieve uninterrupted workflow continuity and improved productivity. Users can now initiate interactive notebooks from Amazon SageMaker Unified Studio and data processing sessions on Amazon EMR (EC2, EKS, Serverless) and AWS Glue that continue running in the background using their corporate credentials, even when they log off or their session expires.
With this capability, you can now launch resource-intensive complex data processing sessions, or exploratory analytics flows and step away from your workstations without interrupting progress. Sessions automatically maintain corporate identity permissions through IAM Identity Center’s trusted identity propagation, ensuring consistent security and access controls throughout execution. You can start multi-hour or multi-day workflows knowing the jobs will persist through network disconnections, laptop shutdowns, or credential refresh cycles, with sessions running for up to 90 days (default 7 days). This eliminates the productivity bottleneck of monitoring long-running processes and enables more efficient resource utilization across data teams.
Long running sessions are available in Amazon SageMaker Unified Studio in all existing SageMaker Unified Studio regions. To learn more about user background sessions, see Amazon EMR on EC2, Amazon EMR Serverless, AWS Glue and Amazon EMR on EKS documentation.
Categories: general:products/amazon-sagemaker,marketing:marchitecture/analytics
Source: Amazon Web Services
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