What problem does it solve?
It helps troubleshoot AWS Clean Rooms collaboration failures and missing CloudWatch logs for Clean Rooms ML custom model training and inference jobs, especially when IAM roles, S3 bucket policies, KMS keys, Lake Formation permissions, or logging configuration are misaligned.
Core Features & Use Cases
- Debug permission and access errors across IAM role policies, S3 bucket policies, KMS key policies, Lake Formation grants, and cross-account trust for Clean Rooms activities.
- Diagnose missing CloudWatch logs for custom model jobs by validating logs publishing privacy configuration, ML configuration, ML configuration role permissions, and log group/stream availability.
- Use cases: A customer reports “AccessDenied” while working with a collaboration or configured data, or a customer reports that Clean Rooms ML jobs complete but no logs are published to CloudWatch.
Quick Start
Ask the AI: “My Clean Rooms custom model inference jobs are failing to publish logs—can you diagnose the likely root cause and tell me exactly what IAM, privacy config, or CloudWatch permissions to fix?”
