Amazon has introduced a solution to monitor SageMaker Pipelines across multiple AWS accounts and regions using custom Amazon CloudWatch dashboards. The solution allows organizations to centralize monitoring efforts, reducing the operational overhead of manually switching between accounts and regions. It leverages a serverless, event-driven architecture to provide near-real-time visibility into pipeline executions, streamlining daily operations for developers and operations engineers.
The solution employs a hub-and-spoke model, with a central monitoring hub in one account and region, and lightweight components in each secondary account or region tracking pipeline data. These components use Amazon EventBridge to send enriched data to the monitoring hub, where it is stored in Amazon DynamoDB tables and displayed through a custom CloudWatch dashboard. The dashboard provides users with a single interface to view pipeline executions, including account IDs, regions, creation times, and current statuses, with interactive elements for filtering and detailed step information.
The solution is designed to provide a centralized view of pipeline executions using a serverless, event-driven architecture. It integrates with Amazon SageMaker AI events and API calls to transform data into a comprehensive view of pipeline execution status, which is stored in centralized DynamoDB tables and displayed on a custom CloudWatch dashboard. Users can extend the dashboard by using Lambda functions to process additional information before storing it in the Dynamo and tables.
Source: awsml
