Amazon SageMaker Unified Studio now supports notebook scheduling

Amazon SageMaker Unified Studio Updates

Amazon SageMaker Unified Studio now allows you to schedule, parameterize, and orchestrate notebook runs directly from the notebook interface. This feature simplifies moving notebooks from experimentation to production by automating recurring workloads such as daily reports, data quality checks, and model retraining.

• On-demand background runs: Trigger background runs on dedicated compute without interrupting interactive sessions.
• Notebook parameterization: Reuse a single notebook across different inputs by defining parameters and overriding their values per schedule or on-demand run.
• Multi-notebook workflows: Orchestrate workflows using the Notebook Operator in the Workflows tool, chaining notebooks so that outputs from one run feed as inputs to the next.
• AI-assisted troubleshooting: When a scheduled or background run fails, SageMaker Data Agent helps identify the root cause and suggests fixes directly in the notebook, reducing time to resolution.
• Natural language scheduling: Use the Data Agent to create schedules and start notebook runs using natural language, without navigating.

What to do

• Open a notebook in your SageMaker Unified Studio project.
• Choose the menu on the Run all button and select Run in background.
• Create a schedule by choosing the schedule icon in the notebook header or asking the Data Agent to set one up for you.

You can use notebook scheduling in all AWS Regions where Amazon SageMaker Unified Studio is supported. To learn more, see the AWS blog and user guide.

If you need further guidance on AWS, our experts are available at AWS@westloop.io. You may also reach us by submitting the Contact Us form.