AWS sagemaker documentation change
Summary
Updated CloudWatch documentation section titles for consistency
Security assessment
Changes only modify hyperlink text for improved readability and do not introduce or modify security-related content.
Diff
diff --git a/sagemaker/latest/dg/sagemaker-incident-response.md b/sagemaker/latest/dg/sagemaker-incident-response.md index 864b93239..c3d5786c7 100644 --- a//sagemaker/latest/dg/sagemaker-incident-response.md +++ b//sagemaker/latest/dg/sagemaker-incident-response.md @@ -7 +7 @@ -You can monitor Amazon SageMaker AI using Amazon CloudWatch, which collects raw data and processes it into readable, near real-time metrics. These statistics are kept for 15 months, so that you can access historical information and gain a better perspective on how your web application or service is performing. You can also set alarms that watch for certain thresholds and send notifications or take actions when those thresholds are met. For more information, see [Metrics for monitoring Amazon SageMaker AI with Amazon CloudWatch](./monitoring-cloudwatch.html). +You can monitor Amazon SageMaker AI using Amazon CloudWatch, which collects raw data and processes it into readable, near real-time metrics. These statistics are kept for 15 months, so that you can access historical information and gain a better perspective on how your web application or service is performing. You can also set alarms that watch for certain thresholds and send notifications or take actions when those thresholds are met. For more information, see [Amazon SageMaker AI metrics in Amazon CloudWatch](./monitoring-cloudwatch.html). @@ -9 +9 @@ You can monitor Amazon SageMaker AI using Amazon CloudWatch, which collects raw -Amazon CloudWatch Logs enables you to monitor, store, and access your log files from Amazon EC2 instances, AWS CloudTrail, and other sources. You can collect and track metrics, create customized dashboards, and set alarms that notify you or take actions when a specified metric reaches a threshold that you specify. CloudWatch Logs can monitor information in the log files and notify you when certain thresholds are met. You can also archive your log data in highly durable storage. For more information, see [Log groups and streams that Amazon SageMaker AI sends to Amazon CloudWatch Logs](./logging-cloudwatch.html). +Amazon CloudWatch Logs enables you to monitor, store, and access your log files from Amazon EC2 instances, AWS CloudTrail, and other sources. You can collect and track metrics, create customized dashboards, and set alarms that notify you or take actions when a specified metric reaches a threshold that you specify. CloudWatch Logs can monitor information in the log files and notify you when certain thresholds are met. You can also archive your log data in highly durable storage. For more information, see [CloudWatch Logs for Amazon SageMaker AI](./logging-cloudwatch.html).