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AWS Batch
User Guide

Logging AWS Batch API Calls with AWS CloudTrail

AWS Batch is integrated with AWS CloudTrail, a service that provides a record of actions taken by a user, role, or an AWS service in AWS Batch. If you create a trail, you can enable continuous delivery of CloudTrail events to an Amazon S3 bucket, Amazon CloudWatch Logs, and Amazon CloudWatch Events. Using the information collected by CloudTrail, you can determine the request that was made to AWS Batch, 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, including how to configure and enable it, see the AWS CloudTrail User Guide.

AWS Batch Information in CloudTrail

All AWS Batch actions are logged by CloudTrail and are documented in the AWS Batch API Reference. For example, calls to the SubmitJob, ListJobs and DescribeJobs sections 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:

  • Whether the request was made with root or IAM user credentials.

  • Whether the request was made with temporary security credentials for a role or federated user.

  • Whether the request was made by another AWS service.

For more information, see the CloudTrail userIdentity Element.

You can also create a trail and store your log files in your Amazon S3 bucket for as long as you want, and define Amazon S3 lifecycle rules to archive or delete log files automatically. By default, your log files are encrypted with Amazon S3 server-side encryption (SSE).

To be notified of log file delivery, configure CloudTrail to publish Amazon SNS notifications when new log files are delivered. For more information, see Configuring Amazon SNS Notifications for CloudTrail.

You can also aggregate AWS Batch log files from multiple AWS regions and multiple AWS accounts into a single Amazon S3 bucket.

For more information, see Receiving CloudTrail Log Files from Multiple Regions and Receiving CloudTrail Log Files from Multiple Accounts.

Understanding AWS Batch Log File Entries

A trail is a configuration that enables delivery of events as log files to an Amazon S3 bucket that you specify. CloudTrail log files contain one or more log entries. An event represents a single request from any source and includes information about the requested action, the date and time of the action, request parameters, and so on. CloudTrail log files are not an ordered stack trace of the public API calls, so they do not appear in any specific order.

The following example shows a CloudTrail log entry that demonstrates the CreateComputeEnvironment action.

{ "eventVersion": "1.05", "userIdentity": { "type": "AssumedRole", "principalId": "AIDACKCEVSQ6C2EXAMPLE:admin", "arn": "arn:aws:sts::012345678910:assumed-role/Admin/admin", "accountId": "012345678910", "accessKeyId": "AKIAIOSFODNN7EXAMPLE", "sessionContext": { "attributes": { "mfaAuthenticated": "false", "creationDate": "2017-12-20T00:48:46Z" }, "sessionIssuer": { "type": "Role", "principalId": "AIDACKCEVSQ6C2EXAMPLE", "arn": "arn:aws:iam::012345678910:role/Admin", "accountId": "012345678910", "userName": "Admin" } } }, "eventTime": "2017-12-20T00:48:46Z", "eventSource": "batch.amazonaws.com", "eventName": "CreateComputeEnvironment", "awsRegion": "us-east-1", "sourceIPAddress": "203.0.113.1", "userAgent": "aws-cli/1.11.167 Python/2.7.10 Darwin/16.7.0 botocore/1.7.25", "requestParameters": { "computeResources": { "subnets": [ "subnet-5eda8e04" ], "tags": { "testBatchTags": "CLI testing CE" }, "desiredvCpus": 0, "minvCpus": 0, "instanceTypes": [ "optimal" ], "securityGroupIds": [ "sg-aba9e8db" ], "instanceRole": "ecsInstanceRole", "maxvCpus": 128, "type": "EC2" }, "state": "ENABLED", "type": "MANAGED", "serviceRole": "service-role/AWSBatchServiceRole", "computeEnvironmentName": "Test" }, "responseElements": { "computeEnvironmentName": "Test", "computeEnvironmentArn": "arn:aws:batch:us-east-1:012345678910:compute-environment/Test" }, "requestID": "890b8639-e51f-11e7-b038-EXAMPLE", "eventID": "874f89fa-70fc-4798-bc00-EXAMPLE", "readOnly": false, "eventType": "AwsApiCall", "recipientAccountId": "012345678910" }