Service job state change events

Anytime that an existing service job changes states, an event is created. For more information about service job states, see Mapping AWS Batch service job status to SageMaker AI status.

Note

Events aren't created for the initial job submission.

Example Service Job State Change Event

Service job state change events are delivered in the following format. The detail section resembles the response that's returned from a DescribeServiceJob API operation in the AWS Batch API Reference. For more information about EventBridge parameters, see Events and Event Patterns in the Amazon EventBridge User Guide.

Note

The tags and serviceRequestPayload fields are not included in the event detail.

{
  "version": "0",
  "id": "c8f9c4b5-76e5-d76a-f980-7011e206042b",
  "detail-type": "Batch Service Job State Change",
  "source": "aws.batch",
  "account": "123456789012",
  "time": "2022-01-11T23:36:40Z",
  "region": "us-east-1",
  "resources": [
    "arn:aws:batch:us-east-1:123456789012:service-job/4c7599ae-0a82-49aa-ba5a-4727fcce14a8"
  ],
  "detail": {
    "attempts": [
      {
        "serviceResourceId": {
          "name": "TrainingJobArn",
          "value": "arn:aws:sagemaker:us-east-1:123456789012:training-job/AWSBatchmy-training-job88b610a69aa8380ca5b0a7aba3f81cb8"
        },
        "startedAt": 1641944300058,
        "stoppedAt": 1641944400058,
        "statusReason": "Received status from SageMaker: Training job completed"
      }
    ],
    "createdAt": 1641944200058,
    "jobArn": "arn:aws:batch:us-east-1:123456789012:service-job/4c7599ae-0a82-49aa-ba5a-4727fcce14a8",
    "jobId": "0bb17543-ece6-4480-b1a7-a556d344746b",
    "jobName": "event-test",
    "jobQueue": "arn:aws:batch:us-east-1:123456789012:job-queue/HappyPathJobQueue",
    "latestAttempt": {
      "serviceResourceId": {
        "name": "TrainingJobArn",
        "value": "arn:aws:sagemaker:us-east-1:123456789012:training-job/AWSBatchmy-training-job88b610a69aa8380ca5b0a7aba3f81cb8"
      }
    },
    "serviceJobType": "SAGEMAKER_TRAINING",
    "startedAt": 1641944300058,
    "status": "SUCCEEDED",
    "statusReason": "Received status from SageMaker: Training job completed",
    "stoppedAt": 1641944400058,
    "timeoutConfig": {
      "attemptDurationSeconds": 60
    }
  }
}