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亚马逊 A SageMaker I 发送给亚马逊的事件 EventBridge
亚马逊 EventBridge 监控亚马逊 A SageMaker I 中的状态变更事件。 EventBridge 使您能够自动执行 SageMaker AI 并自动响应诸如训练作业状态更改或端点状态更改之类的事件。 SageMaker 来自 AI 的事件可以近乎实时地传送到 EventBridge 。您可以编写简单规则来指示您关注的事件，并指示要在事件匹配规则时执行的自动化操作。要创建规则，请参阅中的创建对事件做出反应的规则 EventBridge。如果您使用 Amazon CLI，请参阅《Amazon CLI 命令参考》中的 put-rule。
以下各节描述了 SageMaker AI 发送到 EventBridge的事件以及示例。您可以使用这些示例来帮助编写自动化规则。
注意
SageMaker AI 可能会 EventBridge 针对每次状态更改向发送多个事件。这是预期行为，并不一定表示错误。
可自动触发的操作的一些示例包括：
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调用函数 Amazon Lambda
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调用 Amazon EC2 运行命令
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将事件中继到 Amazon Kinesis Data Streams
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激活 Amazon Step Functions 状态机
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通知 Amazon SNS 主题或队列 Amazon SMS
SageMaker 由监控的 AI 事件 EventBridge
SageMaker 端点部署状态更改
重要
以下示例可能不适用于所有端点。有关可能排除您的端点的特征列表，请参阅 排除项 页面。
指示端点部署的状态发生更改。以下示例显示了使用蓝/绿金丝雀部署更新的端点。
{ "version": "0", "id": "0bd4a141-0a02-9d8a-f977-3924c3fb259c", "detail-type": "SageMaker Endpoint Deployment State Change", "source": "aws.sagemaker", "account": "111122223333", "time": "2021-10-25T01:52:12Z", "region": "us-west-2", "resources": [ "arn:aws:sagemaker:us-west-2:111122223333:endpoint/sample-endpoint" ], "detail": { "EndpointName": "sample-endpoint", "EndpointArn": "arn:aws:sagemaker:us-west-2:111122223333:endpoint/sample-endpoint", "EndpointConfigName": "sample-endpoint-config-1", "ProductionVariants": [ { "VariantName": "AllTraffic", "CurrentWeight": 1, "DesiredWeight": 1, "CurrentInstanceCount": 3, "DesiredInstanceCount": 3 } ], "EndpointStatus": "UPDATING", "CreationTime": 1635195148181, "LastModifiedTime": 1635195148181, "Tags": {}, "PendingDeploymentSummary": { "EndpointConfigName": "sample-endpoint-config-2", "StartTime": Timestamp, "ProductionVariants": [ { "VariantName": "AllTraffic", "CurrentWeight": 1, "DesiredWeight": 1, "CurrentInstanceCount": 1, "DesiredInstanceCount": 3, "VariantStatus": [ { "Status": "Baking", "StatusMessage": "Baking for 600 seconds (TerminationWaitInSeconds) with traffic enabled on canary capacity of 1 instance(s).", "StartTime": 1635195269181, } ] } ] } } }
以下示例显示了端点部署的状态更改，该部署正在使用现有端点配置上的新容量进行更新。
{ "version": "0", "id": "0bd4a141-0a02-9d8a-f977-3924c3fb259c", "detail-type": "SageMaker Endpoint Deployment State Change", "source": "aws.sagemaker", "account": "111122223333", "time": "2021-10-25T01:52:12Z", "region": "us-west-2", "resources": [ "arn:aws:sagemaker:us-west-2:651393343886:endpoint/sample-endpoint" ], "detail": { "EndpointName": "sample-endpoint", "EndpointArn": "arn:aws:sagemaker:us-west-2:651393343886:endpoint/sample-endpoint", "EndpointConfigName": "sample-endpoint-config-1", "ProductionVariants": [ { "VariantName": "AllTraffic", "CurrentWeight": 1, "DesiredWeight": 1, "CurrentInstanceCount": 3, "DesiredInstanceCount": 6, "VariantStatus": [ { "Status": "Updating", "StatusMessage": "Scaling out desired instance count to 6.", "StartTime": 1635195269181, } ] } ], "EndpointStatus": "UPDATING", "CreationTime": 1635195148181, "LastModifiedTime": 1635195148181, "Tags": {}, }
以下辅助部署状态也适用于在VariantStatus对象中找到的端点。
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Creating：正在为生产变体创建实例。示例消息：
"Launching X instance(s)." -
Deleting：正在终止生产变体的实例。示例消息：
"Terminating X instance(s)." -
Updating：正在更新生产变体的容量。示例消息：
"Launching X instance(s)."、"Scaling out desired instance count to X." -
ActivatingTraffic：正在为生产变体启用流量。示例消息：
"Activating traffic on canary capacity of X instance(s)." -
Baking：等待监控自动回滚配置中的 CloudWatch 警报的时间。示例消息：
"Baking for X seconds (TerminationWaitInSeconds) with traffic enabled on full capacity of Y instance(s)."
SageMaker 端点状态更改
表示 A SageMaker I 托管的实时推理端点的状态发生了变化。
下图显示了具有 IN_SERVICE 状态的端点的事件。
{ "version": "0", "id": "d2921b5a-b0ad-cace-a8e3-0f159d018e06", "detail-type": "SageMaker Endpoint State Change", "source": "aws.sagemaker", "account": "111122223333", "time": "1583831889050", "region": "us-west-2", "resources": [ "arn:aws:sagemaker:us-west-2:111122223333:endpoint/myendpoint" ], "detail": { "EndpointName": "MyEndpoint", "EndpointArn": "arn:aws:sagemaker:us-west-2:111122223333:endpoint/myendpoint", "EndpointConfigName": "MyEndpointConfig", "ProductionVariants": [ { "DesiredWeight": 1.0, "DesiredInstanceCount": 1.0 } ], "EndpointStatus": "IN_SERVICE", "CreationTime": 1592411992203.0, "LastModifiedTime": 1592411994287.0, "Tags": { } } }
SageMaker 功能组状态更改
表示要 SageMaker 素组中FeatureGroupStatus或OfflineStoreStatus的更改。
{ "version": "0", "id": "93201303-abdb-36a4-1b9b-4c1c3e3671c0", "detail-type": "SageMaker Feature Group State Change", "source": "aws.sagemaker", "account": "111122223333", "time": "2021-01-26T01:22:01Z", "region": "us-east-1", "resources": [ "arn:aws:sagemaker:us-east-1:111122223333:feature-group/sample-feature-group" ], "detail": { "FeatureGroupArn": "arn:aws:sagemaker:us-east-1:111122223333:feature-group/sample-feature-group", "FeatureGroupName": "sample-feature-group", "RecordIdentifierFeatureName": "RecordIdentifier", "EventTimeFeatureName": "EventTime", "FeatureDefinitions": [ { "FeatureName": "RecordIdentifier", "FeatureType": "Integral" }, { "FeatureName": "EventTime", "FeatureType": "Fractional" } ], "CreationTime": 1611624059000, "OnlineStoreConfig": { "EnableOnlineStore": true }, "OfflineStoreConfig": { "S3StorageConfig": { "S3Uri": "s3://offline/s3/uri" }, "DisableGlueTableCreation": false, "DataCatalogConfig": { "TableName": "sample-feature-group-1611624059", "Catalog": "AwsDataCatalog", "Database": "sagemaker_featurestore" } }, "RoleArn": "arn:aws:iam::111122223333:role/SageMakerRole", "FeatureGroupStatus": "Active", "Tags": {} } }
SageMaker 超参数调整作业状态更改
表示 SageMaker 超参数调整作业的状态发生了变化。
{ "version": "0", "id": "844e2571-85d4-695f-b930-0153b71dcb42", "detail-type": "SageMaker HyperParameter Tuning Job State Change", "source": "aws.sagemaker", "account": "111122223333", "time": "2018-10-06T12:26:13Z", "region": "us-east-1", "resources": [ "arn:aws:sagemaker:us-east-1:111122223333:tuningJob/x" ], "detail": { "HyperParameterTuningJobName": "016bffd3-6d71-4d3a-9710-0a332b2759fc", "HyperParameterTuningJobArn": "arn:aws:sagemaker:us-east-1:111122223333:tuningJob/x", "TrainingJobDefinition": { "StaticHyperParameters": {}, "AlgorithmSpecification": { "TrainingImage": "trainingImageName", "TrainingInputMode": "inputModeFile", "MetricDefinitions": [ { "Name": "metricName", "Regex": "regex" } ] }, "RoleArn": "roleArn", "InputDataConfig": [ { "ChannelName": "channelName", "DataSource": { "S3DataSource": { "S3DataType": "s3DataType", "S3Uri": "s3Uri", "S3DataDistributionType": "s3DistributionType" } }, "ContentType": "contentType", "CompressionType": "gz", "RecordWrapperType": "RecordWrapper" } ], "VpcConfig": { "SecurityGroupIds": [ "securityGroupIds" ], "Subnets": [ "subnets" ] }, "OutputDataConfig": { "KmsKeyId": "kmsKeyId", "S3OutputPath": "s3OutputPath" }, "ResourceConfig": { "InstanceType": "instanceType", "InstanceCount": 10, "VolumeSizeInGB": 500, "VolumeKmsKeyId": "volumeKeyId" }, "StoppingCondition": { "MaxRuntimeInSeconds": 3600 } }, "HyperParameterTuningJobStatus": "status", "CreationTime": "1583831889050", "LastModifiedTime": "1583831889050", "TrainingJobStatusCounters": { "Completed": 1, "InProgress": 0, "RetryableError": 0, "NonRetryableError": 0, "Stopped": 0 }, "ObjectiveStatusCounters": { "Succeeded": 1, "Pending": 0, "Failed": 0 }, "Tags": {} } }
SageMaker HyperPod 集群节点运行状况
指示何时 HyperPod 检测到不健康的节点或不健康的节点何时转变为健康状态。
{ "version": "0", "id": "0bd4a141-0a02-9d8a-f977-3924c3fb259c", "detail-type": "SageMaker HyperPod Cluster Node Health Event", "source": "aws.sagemaker", "account": "111122223333", "time": "2021-10-25T01:52:12Z", "region": "us-west-2", "resources": [ "arn:aws:sagemaker:us-west-2:111122223333:cluster/sample-cluster" ], "detail": { "ClusterName": "sample-cluster", "ClusterArn": "arn:aws:sagemaker:us-west-2:111122223333:cluster/sample-cluster", "InstanceId": "i-12345678abcdefghi", "Tags": {}, "HealthSummary": { "HealthStatus": "Unhealthy", "HealthStatusReason": "HyperPod Health Monitoring Agent (HMA) has detected fault type NvidiaErrorTerminate on this node and is unhealthy.", "RepairAction": "None", "Recommendation": "Please Replace the Faulty Node." } } }
SageMaker HyperPod 集群状态更改
表示集 SageMaker HyperPod 群状态发生了变化。如需了解更多信息，请参阅 DescribeClusterAPI 参考。
{ "version": "0", "id": "0bd4a141-0a02-9d8a-f977-3924c3fb259c", "detail-type": "SageMaker HyperPod Cluster State Change", "source": "aws.sagemaker", "account": "111122223333", "time": "2025-04-28T16:59:01Z", "region": "us-west-2", "resources": [ "arn:aws:sagemaker:us-west-2:111122223333:cluster/sample-cluster" ], "detail": { "ClusterArn": "arn:aws:sagemaker:us-west-2:111122223333:cluster/sample-cluster", "ClusterName": "sample-cluster", "ClusterStatus": "InService", "CreationTime": 1745858447412, "FailureMessage": "", "InstanceGroups": [ { "CurrentCount": 1, "ExecutionRole": "arn:aws:iam::111122223333:role/sagemaker-hyperpod-AmazonSagemakerClusterExecutionR-123OTacPcKk1", "InstanceGroupName": "example instance group name", "InstanceStorageConfigs": [ {} ], "InstanceType": "ml.t3.medium", "LifeCycleConfig": { "OnCreate": "on_create.sh", "SourceS3Uri": "s3://sagemaker-hyperpod//LifeCycleScripts/base-config/provisioning_parameters.json" }, "OnStartDeepHealthChecks": [ "example health checks" ], "OverrideVpcConfig": { "SecurityGroupIds": [ "SecurityGroupId1" ], "Subnets": [ "Subnet1" ] }, "Status": "Failed", "TargetCount": 2, "ThreadsPerCore": 2, "TrainingPlanArn": "arn:aws:sagemaker:us-west-2:111122223333:training-plan/large-models-fine-tuning", "TrainingPlanStatus": "NotApplicable" } ], "NodeRecovery": "Automatic", "Orchestrator": { "Eks": { "ClusterArn": "arn:aws:eks:us-west-2:111122223333:cluster/my-hyperPod-eks-cluster" } }, "VpcConfig": { "SecurityGroupIds": [ "SecurityGroupId2" ], "Subnets": [ "Subnet2" ] } } }
SageMaker 图像状态更改
表示 SageMaker 图像状态的变化。
{ "version": "0", "id": "cee033a3-17d8-49f8-865f-b9ebf485d9ee", "detail-type": "SageMaker Image State Change", "source": "aws.sagemaker", "account": "111122223333", "time": "2021-04-29T01:29:59Z", "region": "us-east-1", "resources": ["arn:aws:sagemaker:us-west-2:111122223333:image/cee033a3-17d8-49f8-865f-b9ebf485d9ee"], "detail": { "ImageName": "cee033a3-17d8-49f8-865f-b9ebf485d9ee", "ImageArn": "arn:aws:sagemaker:us-west-2:111122223333:image/cee033a3-17d8-49f8-865f-b9ebf485d9ee", "ImageStatus": "Creating", "Version": 1.0, "Tags": {} } }
SageMaker 图像版本状态更改
表示 SageMaker 图像版本的状态发生了变化。
{ "version": "0", "id": "07fc4615-ebd7-15fc-1746-243411f09f04", "detail-type": "SageMaker Image Version State Change", "source": "aws.sagemaker", "account": "111122223333", "time": "2021-04-29T01:29:59Z", "region": "us-east-1", "resources": ["arn:aws:sagemaker:us-west-2:111122223333:image-version/07800032-2d29-48b7-8f82-5129225b2a85"], "detail": { "ImageArn": "arn:aws:sagemaker:us-west-2:111122223333:image/a70ff896-c832-4fe8-add6-eba25a0f43e6", "ImageVersionArn": "arn:aws:sagemaker:us-west-2:111122223333:image-version/07800032-2d29-48b7-8f82-5129225b2a85", "ImageVersionStatus": "Creating", "Version": 1.0, "Tags": {} } }
SageMaker 模型卡状态更改
表示 Amazon SageMaker 模型卡的状态发生了变化。有关模型卡的更多信息，请参阅亚马逊 SageMaker 模型卡。
{ "version": "0", "id": "aa7a9c4f-2caa-4d04-a6de-e67227ba4302", "detail-type": "SageMaker Model Card State Change", "source": "aws.sagemaker", "account": "111122223333", "time": "2022-11-30T00:00:00Z", "region": "us-east-1", "resources": [ "arn:aws:sagemaker:us-east-1:111122223333:model-card/example-card" ], "detail": { "ModelCardVersion": 2, "LastModifiedTime": "2022-12-03T00:09:44.893854735Z", "LastModifiedBy": { "DomainId": "us-east-1", "UserProfileArn": "arn:aws:sagemaker:us-east-1:111122223333:user-profile/user", "UserProfileName": "user" }, "CreationTime": "2022-12-03T00:09:33.084Z", "CreatedBy": { "DomainId": "us-east-1", "UserProfileArn": "arn:aws:sagemaker:us-east-1:111122223333:user-profile/user", "UserProfileName": "user" }, "ModelCardName": "example-card", "ModelId": "example-model", "ModelCardStatus": "Draft", "AccountId": "111122223333", "SecurityConfig": {} } }
SageMaker 模型包状态更改
表示 SageMaker 模型包的状态发生了变化。
{ "version": "0", "id": "844e2571-85d4-695f-b930-0153b71dcb42", "detail-type": "SageMaker Model Package State Change", "source": "aws.sagemaker", "account": "111122223333", "time": "2021-02-24T17:00:14Z", "region": "us-east-2", "resources": [ "arn:aws:sagemaker:us-east-2:111122223333:model-package/versionedmp-p-idy6c3e1fiqj/2" ], "source": [ "aws.sagemaker" ], "detail": { "ModelPackageGroupName": "versionedmp-p-idy6c3e1fiqj", "ModelPackageVersion": 2, "ModelPackageArn": "arn:aws:sagemaker:us-east-2:111122223333:model-package/versionedmp-p-idy6c3e1fiqj/2", "CreationTime": "2021-02-24T17:00:14Z", "InferenceSpecification": { "Containers": [ { "Image": "257758044811.dkr.ecr.us-east-2.amazonaws.com/sagemaker-xgboost:1.0-1-cpu-py3", "ImageDigest": "sha256:4dc8a7e4a010a19bb9e0a6b063f355393f6e623603361bd8b105f554d4f0c004", "ModelDataUrl": "s3://sagemaker-project-p-idy6c3e1fiqj/versionedmp-p-idy6c3e1fiqj/AbaloneTrain/pipelines-4r83jejmhorv-TrainAbaloneModel-xw869y8C4a/output/model.tar.gz" } ], "SupportedContentTypes": [ "text/csv" ], "SupportedResponseMIMETypes": [ "text/csv" ] }, "ModelPackageStatus": "Completed", "ModelPackageStatusDetails": { "ValidationStatuses": [], "ImageScanStatuses": [] }, "CertifyForMarketplace": false, "ModelApprovalStatus": "Rejected", "MetadataProperties": { "GeneratedBy": "arn:aws:sagemaker:us-east-2:111122223333:pipeline/versionedmp-p-idy6c3e1fiqj/execution/4r83jejmhorv" }, "ModelMetrics": { "ModelQuality": { "Statistics": { "ContentType": "application/json", "S3Uri": "s3://sagemaker-project-p-idy6c3e1fiqj/versionedmp-p-idy6c3e1fiqj/script-2021-02-24-10-55-15-413/output/evaluation/evaluation.json" } } }, "ModelLifeCycle": { "Stage": "Development", "StageStatus": "Approved", "StageDescription": "StageDescription" }, "UpdatedModelPackageFields": [ "ModelLifeCycle" # Other possible values are # "ModelApprovalStatus","ApprovalDescription","sourceUri","CustomerMetadataProperties", "InferenceSpecification" ] "LastModifiedTime": "2021-02-24T17:00:14Z" } }
SageMaker 模型状态更改
表示 A SageMaker I 模型的状态发生了变化。创建或删除 A SageMaker I 模型时，状态会发生变化。
{ "source": ["aws.sagemaker"], "detail-type": ["SageMaker Model State Change"], "Resources" : ["arn:aws:sagemaker:us-east-1:111122223333:model/model-name"] }
如果在下指定了模型Resources，则当该模型的状态发生变化 EventBridge 时，将生成一个事件并发送到该事件。如果您未为指定值Resources，则当与您的账户关联的任何 SageMaker AI 模型的状态发生变化时，将生成一个事件。
SageMaker 管道执行状态更改
表示 SageMaker 管道执行状态的变化。
currentPipelineExecutionStatus并且previousPipelineExecutionStatus可以是以下值之一：
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executing
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成功
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失败
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停止
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Stopped
{ "version": "0", "id": "315c1398-40ff-a850-213b-158f73kd93ir", "detail-type": "SageMaker Model Building Pipeline Execution Status Change", "source": "aws.sagemaker", "account": "111122223333", "time": "2021-03-15T16:10:11Z", "region": "us-east-1", "resources": ["arn:aws:sagemaker:us-east-1:111122223333:pipeline/myPipeline-123", "arn:aws:sagemaker:us-east-1:111122223333:pipeline/myPipeline-123/execution/p4jn9xou8a8s"], "detail": { "pipelineExecutionDisplayName": "SomeDisplayName", "currentPipelineExecutionStatus": "Succeeded", "previousPipelineExecutionStatus": "Executing", "executionStartTime": "2021-03-15T16:03:13Z", "executionEndTime": "2021-03-15T16:10:10Z", "pipelineExecutionDescription": "SomeDescription", "pipelineArn": "arn:aws:sagemaker:us-east-1:111122223333:pipeline/myPipeline-123", "pipelineExecutionArn": "arn:aws:sagemaker:us-east-1:111122223333:pipeline/myPipeline-123/execution/p4jn9xou8a8s" } }
SageMaker 管道步骤状态更改
表示工作 SageMaker 流工序的状态发生了变化。
如果有缓存命中，则该事件包含该cacheHitResult字段。 currentStepStatus并且previousStepStatus可以是以下值之一：
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启动
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executing
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成功
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失败
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停止
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Stopped
如果 currentStepStatus 的值为 Failed，则事件包含 failureReason 字段，此字段描述步骤为何失败。
{ "version": "0", "id": "ea37ccbb-5e2b-05e9-4073-1daazc940304", "detail-type": "SageMaker Model Building Pipeline Execution Step Status Change", "source": "aws.sagemaker", "account": "111122223333", "time": "2021-03-15T16:10:10Z", "region": "us-east-1", "resources": ["arn:aws:sagemaker:us-east-1:111122223333:pipeline/myPipeline-123", "arn:aws:sagemaker:us-east-1:111122223333:pipeline/myPipeline-123/execution/p4jn9xou8a8s"], "detail": { "metadata": { "processingJob": { "arn": "arn:aws:sagemaker:us-east-1:111122223333:processing-job/pipelines-p4jn9xou8a8s-myprocessingstep1-tmgxry49ug" } }, "stepStartTime": "2021-03-15T16:03:14Z", "stepEndTime": "2021-03-15T16:10:09Z", "stepName": "myprocessingstep1", "stepType": "Processing", "previousStepStatus": "Executing", "currentStepStatus": "Succeeded", "pipelineArn": "arn:aws:sagemaker:us-east-1:111122223333:pipeline/myPipeline-123", "pipelineExecutionArn": "arn:aws:sagemaker:us-east-1:111122223333:pipeline/myPipeline-123/execution/p4jn9xou8a8s" } }
SageMaker 正在处理作业状态更改
表示 SageMaker 处理任务的状态发生了变化。
以下示例事件适用于失败的处理作业，其ProcessingJobStatus值为Failed。
{ "version": "0", "id": "0a15f67d-aa23-0123-0123-01a23w89r01t", "detail-type": "SageMaker Processing Job State Change", "source": "aws.sagemaker", "account": "111122223333", "time": "2019-05-31T21:49:54Z", "region": "us-east-1", "resources": ["arn:aws:sagemaker:us-west-2:037210630506:processing-job/integ-test-analytics-algo-54ee3282-5899-4aa3-afc2-7ce1d02"], "detail": { "ProcessingInputs": [{ "InputName": "InputName", "S3Input": { "S3Uri": "s3://input/s3/uri", "LocalPath": "/opt/ml/processing/input/local/path", "S3DataType": "MANIFEST_FILE", "S3InputMode": "PIPE", "S3DataDistributionType": "FULLYREPLICATED" } }], "ProcessingOutputConfig": { "Outputs": [{ "OutputName": "OutputName", "S3Output": { "S3Uri": "s3://output/s3/uri", "LocalPath": "/opt/ml/processing/output/local/path", "S3UploadMode": "CONTINUOUS" } }], "KmsKeyId": "KmsKeyId" }, "ProcessingJobName": "integ-test-analytics-algo-54ee3282-5899-4aa3-afc2-7ce1d02", "ProcessingResources": { "ClusterConfig": { "InstanceCount": 3, "InstanceType": "ml.c5.xlarge", "VolumeSizeInGB": 5, "VolumeKmsKeyId": "VolumeKmsKeyId" } }, "StoppingCondition": { "MaxRuntimeInSeconds": 2000 }, "AppSpecification": { "ImageUri": "012345678901.dkr.ecr.us-west-2.amazonaws.com/processing-uri:latest" }, "NetworkConfig": { "EnableInterContainerTrafficEncryption": true, "EnableNetworkIsolation": false, "VpcConfig": { "SecurityGroupIds": ["SecurityGroupId1", "SecurityGroupId2", "SecurityGroupId3"], "Subnets": ["Subnet1", "Subnet2"] } }, "RoleArn": "arn:aws:iam::037210630506:role/SageMakerPowerUser", "ExperimentConfig": {}, "ProcessingJobArn": "arn:aws:sagemaker:us-west-2:037210630506:processing-job/integ-test-analytics-algo-54ee3282-5899-4aa3-afc2-7ce1d02", "ProcessingJobStatus":"Failed", "FailureReason":"InternalServerError: We encountered an internal error. Please try again.", "ProcessingEndTime":1704320746000, "ProcessingStartTime":1704320734000, "LastModifiedTime":1704320746000, "CreationTime":1704320199000 } }
SageMaker 训练作业状态变更
表示 SageMaker 训练作业的状态发生了变化。
如果 TrainingJobStatus 的值为 Failed，则事件包含 FailureReason 字段，此字段描述训练作业为何失败。
{ "version": "0", "id": "844e2571-85d4-695f-b930-0153b71dcb42", "detail-type": "SageMaker Training Job State Change", "source": "aws.sagemaker", "account": "111122223333", "time": "2018-10-06T12:26:13Z", "region": "us-east-1", "resources": [ "arn:aws:sagemaker:us-east-1:111122223333:training-job/kmeans-1" ], "detail": { "TrainingJobName": "89c96cc8-dded-4739-afcc-6f1dc936701d", "TrainingJobArn": "arn:aws:sagemaker:us-east-1:111122223333:training-job/kmeans-1", "TrainingJobStatus": "Completed", "SecondaryStatus": "Completed", "HyperParameters": { "Hyper": "Parameters" }, "AlgorithmSpecification": { "TrainingImage": "TrainingImage", "TrainingInputMode": "TrainingInputMode" }, "RoleArn": "arn:aws:iam::111122223333:role/SMRole", "InputDataConfig": [ { "ChannelName": "Train", "DataSource": { "S3DataSource": { "S3DataType": "S3DataType", "S3Uri": "S3Uri", "S3DataDistributionType": "S3DataDistributionType" } }, "ContentType": "ContentType", "CompressionType": "CompressionType", "RecordWrapperType": "RecordWrapperType" } ], "OutputDataConfig": { "KmsKeyId": "KmsKeyId", "S3OutputPath": "S3OutputPath" }, "ResourceConfig": { "InstanceType": "InstanceType", "InstanceCount": 3, "VolumeSizeInGB": 20, "VolumeKmsKeyId": "VolumeKmsKeyId" }, "VpcConfig": { }, "StoppingCondition": { "MaxRuntimeInSeconds": 60 }, "CreationTime": "1583831889050", "TrainingStartTime": "1583831889050", "TrainingEndTime": "1583831889050", "LastModifiedTime": "1583831889050", "SecondaryStatusTransitions": [ ], "Tags": { } } }
SageMaker 转换作业状态更改
表示 SageMaker 批处理转换作业的状态发生了变化。
如果 TransformJobStatus 的值为 Failed，则事件包含 FailureReason 字段，此字段描述训练作业为何失败。
{ "version": "0", "id": "844e2571-85d4-695f-b930-0153b71dcb42", "detail-type": "SageMaker Transform Job State Change", "source": "aws.sagemaker", "account": "111122223333", "time": "2018-10-06T12:26:13Z", "region": "us-east-1", "resources": ["arn:aws:sagemaker:us-east-1:111122223333:transform-job/myjob"], "detail": { "TransformJobName": "4b52bd8f-e034-4345-818d-884bdd7c9724", "TransformJobArn": "arn:aws:sagemaker:us-east-1:111122223333:transform-job/myjob", "TransformJobStatus": "another status... GO", "FailureReason": "failed why 1", "ModelName": "i am a beautiful model", "MaxConcurrentTransforms": 5, "MaxPayloadInMB": 10, "BatchStrategy": "Strategizing...", "Environment": { "environment1": "environment2" }, "TransformInput": { "DataSource": { "S3DataSource": { "S3DataType": "s3DataType", "S3Uri": "s3Uri" } }, "ContentType": "content type", "CompressionType": "compression type", "SplitType": "split type" }, "TransformOutput": { "S3OutputPath": "s3Uri", "Accept": "accept", "AssembleWith": "assemblyType", "KmsKeyId": "kmsKeyId" }, "TransformResources": { "InstanceType": "instanceType", "InstanceCount": 3 }, "CreationTime": "2018-10-06T12:26:13Z", "TransformStartTime": "2018-10-06T12:26:13Z", "TransformEndTime": "2018-10-06T12:26:13Z", "Tags": {} } }
有关状态值及其对于 SageMaker AI 作业、端点和管道的含义的更多信息，请参阅以下链接：
有关更多信息，请参阅 Amazon EventBridge 用户指南。