Monitoring deployments with Amazon CloudTrail - Amazon CodeDeploy
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Monitoring deployments with Amazon CloudTrail

CodeDeploy is integrated with CloudTrail, a service that captures API calls made by or on behalf of CodeDeploy in your Amazon account and delivers the log files to an Amazon S3 bucket you specify. CloudTrail captures API calls from the CodeDeploy console, from CodeDeploy commands through the Amazon CLI, or from the CodeDeploy APIs directly. Using the information collected by CloudTrail, you can determine which request was made to CodeDeploy, the source IP address from which the request was made, who made the request, when it was made, and so on. To learn more about CloudTrail, including how to configure and enable it, see Amazon CloudTrail User Guide.

CodeDeploy information in CloudTrail

When CloudTrail logging is enabled in your Amazon account, API calls made to CodeDeploy actions are tracked in log files. CodeDeploy records are written together with other Amazon service records in a log file. CloudTrail determines when to create and write to a new file based on a time period and file size.

All of the CodeDeploy actions are logged and documented in the Amazon CodeDeploy Command Line Reference and the Amazon CodeDeploy API Reference. For example, calls to create deployments, delete applications, and register application revisions generate entries in CloudTrail log files.

Every log entry contains information about who generated the request. The user identity information in the log helps you determine whether the request was made with root or IAM user credentials, with temporary security credentials for a role or federated user, or by another Amazon service. For more information, see the userIdentity field in the CloudTrail event reference.

You can store your log files in your bucket for as long as you want, but you can also define Amazon S3 lifecycle rules to archive or delete log files automatically.

You can have CloudTrail publish Amazon SNS notifications when new log files are delivered. For more information, see Configuring Amazon SNS notifications for CloudTrail.

You can also aggregate CodeDeploy log files from multiple Amazon regions and multiple Amazon accounts into a single Amazon S3 bucket. For more information, see Receiving CloudTrail log files from multiple regions.

Understanding CodeDeploy log file entries

CloudTrail log files can contain one or more log entries where each entry is made up of multiple JSON-formatted events. A log entry represents a single request from any source and includes information about the requested action, any parameters, the date and time of the action, and so on. The log entries are not guaranteed to be in any particular order. That is, they are not an ordered stack trace of the public API calls.

The following example shows a CloudTrail log entry that demonstrates the CodeDeploy create deployment group action:

{ "Records": [{ "eventVersion": "1.02", "userIdentity": { "type": "AssumedRole", "principalId": "AKIAI44QH8DHBEXAMPLE:", "arn": "arn:aws-cn:sts::123456789012:assumed-role/example-role/", "accountId": "123456789012", "accessKeyId": "AKIAIOSFODNN7EXAMPLE", "sessionContext": { "attributes": { "mfaAuthenticated": "false", "creationDate": "2014-11-27T03:57:36Z" }, "sessionIssuer": { "type": "Role", "principalId": "AKIAI44QH8DHBEXAMPLE", "arn": "arn:aws-cn:iam::123456789012:role/example-role", "accountId": "123456789012", "userName": "example-role" } } }, "eventTime": "2014-11-27T03:57:36Z", "eventSource": "", "eventName": "CreateDeploymentGroup", "awsRegion": "us-west-2", "sourceIPAddress": "", "userAgent": "example-user-agent-string", "requestParameters": { "applicationName": "ExampleApplication", "serviceRoleArn": "arn:aws-cn:iam::123456789012:role/example-instance-group-role", "deploymentGroupName": "ExampleDeploymentGroup", "ec2TagFilters": [{ "value": "CodeDeployDemo", "type": "KEY_AND_VALUE", "key": "Name" }], "deploymentConfigName": "CodeDeployDefault.HalfAtATime" }, "responseElements": { "deploymentGroupId": "7d64e680-e6f4-4c07-b10a-9e117EXAMPLE" }, "requestID": "86168559-75e9-11e4-8cf8-75d18EXAMPLE", "eventID": "832b82d5-d474-44e8-a51d-093ccEXAMPLE", "eventType": "AwsApiCall", "recipientAccountId": "123456789012" }, ... additional entries ... ] }