AWS introduced a solution to monitor SageMaker Pipelines across multiple AWS accounts and regions using custom Amazon CloudWatch dashboards. This approach centralizes pipeline monitoring for better visibility and management. A GitHub repository offers a customizable AWS CDK example to set up the necessary infrastructure.
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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.
Using Amazon SageMaker Pipelines, organizations can automate their machine learning (ML) workloads and distribute them over many AWS accounts and AWS Regions as part of their Machine Learning Operations (MLOps) strategy.