Amazon SageMaker AI events - Amazon EventBridge
Service eventsEvents via CloudTrail
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Amazon SageMaker AI events

SageMaker AI sends service events directly to EventBridge, as well as via Amazon CloudTrail.

SageMaker AI service events

SageMaker AI sends the following events directly to EventBridge:

  • SageMaker Image State Change

  • SageMaker Image Version State Change

  • SageMaker Endpoint Deployment State Change

  • SageMaker Model Card Export Job State Change

  • SageMaker Monitoring Schedule State Change

  • SageMaker HyperPod Cluster State Change

  • SageMaker HyperPod Cluster Node Health Event

  • SageMaker A2I HumanLoop Status Change

  • SageMaker Human Loop Finished

  • SageMaker Human Loop Step Execution Finished

  • SageMaker Human Task Accepted

  • SageMaker Human Task Created

  • SageMaker Human Task Declined

  • SageMaker Human Task Expired

  • SageMaker Human Task Returned

  • SageMaker Human Task Submitted

  • SageMaker Ground Truth Labeling Job State Change

  • SageMaker Model Building Pipeline Execution Status Change

  • SageMaker Model Building Pipeline Execution Step Status Change

  • SageMaker Ground Truth Labeling Job Task Status Change

  • SageMaker Evaluation Job Status Change

  • SageMaker Tracking Server Creating

  • SageMaker Tracking Server Created

  • SageMaker Tracking Server Create Failed

  • SageMaker Tracking Server Updating

  • SageMaker Tracking Server Updated

  • SageMaker Tracking Server Update Failed

  • SageMaker Tracking Server Deleting

  • SageMaker Tracking Server Deleted

  • SageMaker Tracking Server Delete Failed

  • SageMaker Tracking Server Starting

  • SageMaker Tracking Server Started

  • SageMaker Tracking Server Start Failed

  • SageMaker Tracking Server Stopping

  • SageMaker Tracking Server Stopped

  • SageMaker Tracking Server Stop Failed

  • SageMaker Tracking Server Maintenance In Progress

  • SageMaker Tracking Server Maintenance Complete

  • SageMaker Tracking Server Maintenance Failed

  • SageMaker MLFlow Tracking Server Creating Run

  • SageMaker MLFlow Tracking Server Creating RegisteredModel

  • SageMaker MLFlow Tracking Server Creating ModelVersion

  • SageMaker MLFlow Tracking Server Transitioning ModelVersion Stage

  • SageMaker MLFlow Tracking Server Setting Registered Model Alias

Delivery type: Best effort

To match against all events from this service, create an event pattern that matches against the following event attribute:

  • source: aws.sagemaker

{
  "source": ["aws.sagemaker"]
}

To match against specific events, include a detail-type attribute specifying an array of event names to match. For example:

{
  "source": ["aws.sagemaker"],
  "detail-type": ["SageMaker Image State Change"]
}

For more information, see Creating event patterns in the Amazon EventBridge User Guide.

SageMaker AI events delivered via Amazon CloudTrail

Amazon CloudTrail sends events originating from SageMaker AI to EventBridge. Amazon services deliver events to CloudTrail on a best effort basis. For more information, see Amazon service events delivered via Amazon CloudTrail in the Amazon EventBridge User Guide.

To match events from this service delivered by Amazon CloudTrail, create an event pattern that matches against the following event attributes:

  • source: aws.sagemaker

  • eventSource: sagemaker.amazonaws.com

{
  "source": ["aws.sagemaker"],
  "detail-type": ["Amazon API Call via CloudTrail"],
  "detail": {
    "eventSource": ["sagemaker.amazonaws.com"]
  }
}

To match against a specific API calls from this service, include an eventName attribute specifying an array of API calls to match:

{
  "source": ["aws.sagemaker"],
  "detail-type": ["Amazon API Call via CloudTrail"],
  "detail": {
    "eventSource": ["sagemaker.amazonaws.com"],
    "eventName": ["api-action-name"]
  }
}