Amazon SageMaker is a machine learning platform that manages ML workloads and provides a range of services. While it is recommended to use separate accounts for better policy management and resource isolation, monitoring these workloads in a multi-account environment can be challenging. To address this, customers are looking for solutions to monitor resource usage and track activities across multiple accounts. SageMaker services collect metrics and logs from running instances and send them to users’ Amazon CloudWatch accounts. However, viewing the details of jobs in different accounts requires logging in to each account separately. This post introduces a cross-account observability dashboard that provides a centralized view of SageMaker activities and resources across multiple accounts. The dashboard allows users and cloud management teams to monitor running jobs, view their status, and track account activities. It eliminates the need to navigate through the SageMaker console for job details and enables easy troubleshooting and setting up of alerts. The solution uses Amazon EventBridge to stream events from SageMaker and AWS CloudTrail to a centralized monitoring account. It captures events using EventBridge rules and processes them into different targets, such as CloudWatch log groups and an AWS Lambda function. The solution also leverages CloudWatch’s cross-account observability feature to enable access to metrics and logs across multiple accounts. The post provides an overview of the solution’s architecture and explains the steps to deploy it in an Organizations or non-Organizations environment.
Creating a Centralized Monitoring and Reporting System for Amazon SageMaker with Amazon CloudWatch
