Log Amazon SageMaker API calls with AWS CloudTrail
Amazon SageMaker AI is integrated with AWS CloudTrail, a service that provides a record of actions taken by a user, role, or an AWS service in SageMaker AI. CloudTrail captures all API calls for SageMaker AI, with the exception of InvokeEndpoint and InvokeEndpointAsync, as events. The calls captured include calls from the SageMaker AI console and code calls to the SageMaker API operations. If you create a trail, you can enable continuous delivery of CloudTrail events to an Amazon S3 bucket, including events for SageMaker AI. If you don't configure a trail, you can still view the most recent events in the CloudTrail console in Event history. Using the information collected by CloudTrail, you can determine the request that was made to SageMaker AI, the IP address from which the request was made, who made the request, when it was made, and additional details.
To learn more about CloudTrail, see the AWS CloudTrail User Guide.
For security purposes, you can monitor AWS CloudTrail logs to identify abnormal user activity. For more information about monitoring logs, see Logging and Monitoring.
SageMaker AI Information in CloudTrail
CloudTrail is enabled on your AWS account when you create the account. When activity occurs in Amazon SageMaker AI, that activity is recorded in a CloudTrail event along with other AWS service events in Event history. You can view, search, and download recent events in your AWS account. For more information, see Viewing Events with CloudTrail Event History.
For an ongoing record of events in your AWS account, including events for Amazon SageMaker AI, create a trail. A trail enables CloudTrail to deliver log files to an Amazon S3 bucket. By default, when you create a trail in the console, the trail applies to all AWS Regions. The trail logs events from all Regions in the AWS partition and delivers the log files to the Amazon S3 bucket that you specify. Additionally, you can configure other AWS services to further analyze and act upon the event data collected in CloudTrail logs. For more information, see the following:
All SageMaker AI actions, with the exception of
InvokeEndpoint and
InvokeEndpointAsync, are logged by CloudTrail and are documented in the Operations. For example, calls to the CreateTrainingJob,
CreateEndpoint and CreateNotebookInstance actions generate
entries in the CloudTrail log files.
Every event or log entry contains information about who generated the request. The identity information helps you determine the following:
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Whether the request was made with root or IAM user credentials.
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Whether the request was made with temporary security credentials for a role or federated user.
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Whether the request was made by another AWS service.
For more information, see the CloudTrail userIdentity Element.
Operations Performed by Automatic Model Tuning
SageMaker AI supports logging non-API service events to your CloudTrail log files for automatic model
tuning jobs. These events are related to your tuning jobs but, are not the direct result of
a customer request to the public AWS API. For example, when you create a hyperparameter
tuning job by calling CreateHyperParameterTuningJob, SageMaker AI creates training jobs to evaluate
various combinations of hyperparameters to find the best result. Similarly, when you call
StopHyperParameterTuningJob to stop a hyperparameter tuning job, SageMaker AI
might stop any of the associated running training jobs. Non-API events for your tuning jobs
are logged to CloudTrail to help you improve governance, compliance, and operational and risk
auditing of your AWS account.
Log entries that result from non-API service events have an eventType of
AwsServiceEvent instead of AwsApiCall.
