Logging AWS RAM API calls with AWS CloudTrail - AWS Resource Access Manager

Logging AWS RAM API calls with AWS CloudTrail

AWS RAM is integrated with AWS CloudTrail, a service that provides a record of actions taken by a user, role, or an AWS service in AWS RAM. CloudTrail captures all API calls for AWS RAM as events. The calls captured include calls from the AWS RAM console and code calls to the AWS RAM API operations. If you create a trail, you can enable continuous delivery of CloudTrail events to an Amazon S3 bucket that you specify, including events for AWS RAM. If you don't configure a trail, you can still view the most recent events in the CloudTrail console in Event history. Use the information collected by CloudTrail to determine the request that was made to AWS RAM, the requesting IP address, the requester, when it was made, and additional details.

For more information about CloudTrail, see the AWS CloudTrail User Guide.

AWS RAM information in CloudTrail

CloudTrail is enabled on your AWS account when you create the account. When activity occurs in AWS RAM, 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 AWS RAM, 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 AWS RAM actions are logged by CloudTrail and are documented in the AWS RAM API Reference. For example, calls to the CreateResourceShare, AssociateResourceShare, and EnableSharingWithAwsOrganization 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:

  • Whether the request was made with root or AWS Identity and Access Management (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.

Understanding AWS RAM 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 aren't an ordered stack trace of the public API calls, so they don't appear in any specific order.

The following example shows a CloudTrail log entry for the CreateResourceShare action.

{ "eventVersion": "1.05", "userIdentity": { "type": "IAMUser", "principalId": "NOPIOSFODNN7EXAMPLE", "arn": "arn:aws:iam::111122223333:user/admin", "accountId": "111122223333", "accessKeyId": "BCDIOSFODNN7EXAMPLE", "userName": "admin" }, "eventTime": "2018-11-03T04:23:19Z", "eventSource": "ram.amazonaws.com", "eventName": "CreateResourceShare", "awsRegion": "us-east-1", "sourceIPAddress": "", "userAgent": "aws-cli/1.16.2 Python/2.7.10 Darwin/16.7.0 botocore/1.11.2", "requestParameters": { "name": "foo" }, "responseElements": { "resourceShare": { "allowExternalPrincipals": true, "name": "foo", "owningAccountId": "111122223333", "resourceShareArn": "arn:aws:ram:us-east-1:111122223333:resource-share/EXAMPLE0-1234-abcd-1212-987656789098", "status": "ACTIVE" } }, "requestID": "EXAMPLE0-abcd-1234-mnop-987654567876", "eventID": "EXAMPLE0-1234-abcd-hijk-543234565434", "readOnly": false, "eventType": "AwsApiCall", "recipientAccountId": "111122223333" }