Track SageMaker Unified Studio project costs with custom tags and AWS CUR
Big Data Blog
This article demonstrates how to track SageMaker Unified Studio project costs using custom tags and AWS Cost and Usage Reports through an event-driven serverless solution.
- EventBridge captures project lifecycle events and Lambda maintains DynamoDB lookup table mapping projects to custom tags
- AWS Glue ETL job enriches CUR data by joining billing line items with custom tag mappings from DynamoDB
- Amazon QuickSight dashboard provides interactive cost visualization filtered by custom dimensions like CostCenter, Team, Environment
- Solution uses serverless components (Lambda, DynamoDB, Glue, QuickSight) with costs based on ETL execution and SPICE storage
- Fully automated pipeline deployed via AWS CDK with step-by-step configuration and verification instructions
Organizations can now track and attribute ML workload costs by custom business dimensions, enabling informed spending decisions across SageMaker Unified Studio projects.
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