Monitor Amazon SageMaker Pipelines cross-account with custom Amazon CloudWatch dashboards
📰 AWS Machine Learning
Monitor SageMaker Pipelines across AWS accounts with custom CloudWatch dashboards and learn how to centralize monitoring for improved visibility and control
Action Steps
- Create a custom Amazon CloudWatch dashboard using the AWS CDK example from the GitHub repository
- Configure the dashboard to monitor SageMaker Pipelines across multiple AWS accounts and Regions
- Deploy the infrastructure using AWS CDK to set up the monitoring solution
- Test the dashboard by triggering a SageMaker Pipeline and verifying the metrics are displayed correctly
- Customize the dashboard to fit specific monitoring needs by adding or modifying widgets and metrics
Who Needs to Know This
Data scientists and engineers working with SageMaker Pipelines across multiple AWS accounts can benefit from centralized monitoring to streamline their workflow and improve collaboration
Key Insight
💡 Custom Amazon CloudWatch dashboards can be used to monitor SageMaker Pipelines across multiple AWS accounts and Regions, providing a centralized view of pipeline performance and metrics
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📊 Centralize monitoring of SageMaker Pipelines across AWS accounts with custom CloudWatch dashboards! 🚀
Key Takeaways
Monitor SageMaker Pipelines across AWS accounts with custom CloudWatch dashboards and learn how to centralize monitoring for improved visibility and control
Full Article
In this post, we present a solution designed to centralize the monitoring of SageMaker Pipelines across AWS accounts and Regions using Amazon CloudWatch custom dashboards. The accompanying GitHub repository provides a customizable AWS Cloud Development Kit (AWS CDK) example of the required infrastructure.
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