Monitor Amazon SageMaker Pipelines cross-account with custom Amazon CloudWatch dashboards

AWS Machine Learning · 23 hours ago

AWS published a guide for monitoring SageMaker Pipelines across multiple AWS accounts and regions using CloudWatch custom dashboards with a serverless hub-and-spoke architecture. The solution uses EventBridge, Lambda, and DynamoDB to collect pipeline execution data in real-time from source accounts and display unified status, timing, and step details on a centralized dashboard. Organizations can reduce operational overhead from manually switching between accounts and regions, and extend the monitoring to other ML workloads like Step Functions or Batch jobs.