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Web Services"},"license":"Apache-2.0","homepage":"https://github.com/aws/modern-data-architecture-accelerator#readme","repository":{"url":"git+https://github.com/aws/modern-data-architecture-accelerator.git","type":"git"},"description":"MDAA SageMaker Model Monitoring L3 Construct","maintainers":[{"name":"mdaa-dev-team","email":"mdaa-dev-team@amazon.com"}],"readme":"# Construct Overview\n\nDeploys SageMaker Model Monitor resources for continuous monitoring of deployed ML models. Supports four monitor types — data quality, model quality, model bias, and model explainability — each independently configurable with its own monitoring schedule and processing job definition. Monitoring results are written to a KMS-encrypted S3 bucket, and an optional automated baseline processing job can establish statistical baselines for drift detection.\n\n***\n\n## Deployed Resources\n\n<!-- Architecture diagram not yet available -->\n\n* **Monitoring Schedules** - SageMaker MonitoringSchedule resources for each enabled monitor type (data quality, model quality, model bias, model explainability), running on a configurable cron schedule.\n\n* **Processing Job Definitions** - MonitoringJobDefinition resources defining the container image, instance type, and configuration for each enabled monitor type.\n\n* **S3 Output Bucket** - KMS-encrypted bucket for storing monitoring results, constraint violations, and baseline statistics.\n\n* **KMS Key** - Customer-managed encryption key for the output bucket and monitoring job volumes. Accepts an existing key ARN or creates a new key.\n\n* **IAM Monitoring Execution Role** - Execution role with permissions scoped to SageMaker processing, S3 read/write for monitoring outputs, CloudWatch metrics publishing, and ECR image pull.\n\n* **VPC Security Group** (Optional) - Security group attached to monitoring processing jobs for network isolation within a VPC.\n\n* **Baseline Processing Job** (Optional) - Automated processing job that generates statistical baselines from training data, used by monitors to detect data and model drift.\n\n* **SSM Parameters** - Published references for monitoring schedule ARNs, output bucket name, and KMS key ID.\n","readmeFilename":"README.md"}