CloudWatch Metrics

You can use the built-in Amazon SageMaker Model Monitor container for CloudWatch metrics. When the emit_metrics option is Enabled in the baseline constraints file, SageMaker emits these metrics for each feature/column observed in the dataset in the /aws/sagemaker/Endpoints/data-metric namespace with EndpointName and ScheduleName dimensions.

For numerical fields, the built-in container emits the following CloudWatch metrics:

• Metric: Max → query for MetricName: feature_data_{feature_name}, Stat: Max

• Metric: Min → query for MetricName: feature_data_{feature_name}, Stat: Min

• Metric: Sum → query for MetricName: feature_data_{feature_name}, Stat: Sum

• Metric: SampleCount → query for MetricName: feature_data_{feature_name}, Stat: SampleCount

• Metric: Average → query for MetricName: feature_data_{feature_name}, Stat: Average

For both numerical and string fields, the built-in container emits the following CloudWatch metrics:

• Metric: Completeness → query for MetricName: feature_non_null_{feature_name}, Stat: Sum

• Metric: Baseline Drift → query for MetricName: feature_baseline_drift_{feature_name}, Stat: Sum