As of November 7, 2025, you can't create new repository associations in Amazon CodeGuru Reviewer. To learn about services with capabilities similar to CodeGuru Reviewer, see [Amazon CodeGuru Reviewer availability change](https://docs.aws.amazon.com/codeguru/latest/reviewer-ug/codeguru-reviewer-availability-change.html).
# Logging and monitoring in CodeGuru Reviewer
Monitoring is an important part of maintaining the reliability, availability, and performance of Amazon CodeGuru Reviewer and your AWS solutions. You should collect monitoring data from all of the parts of your AWS solution so that you can more easily debug a multi-point failure, if one occurs. AWS provides the following tools for monitoring your CodeGuru Reviewer resources and builds and for responding to potential incidents.
**Topics**
+ [
# Logging CodeGuru Reviewer API calls with AWS CloudTrail
](logging-using-cloudtrail.md)
+ [
# Monitoring CodeGuru Reviewer with Amazon CloudWatch
](monitoring.md)
# Logging CodeGuru Reviewer API calls with AWS CloudTrail
Amazon CodeGuru Reviewer is integrated with AWS CloudTrail, a service that provides a record of actions taken by a user, role, or an AWS service in CodeGuru Reviewer. CloudTrail captures API calls for CodeGuru Reviewer as events. The calls captured include calls from the CodeGuru Reviewer console, the CodeGuru Reviewer AWS CLI, and code calls to the CodeGuru Reviewer API operations.
If you create a trail, you can enable continuous delivery of CloudTrail events to an Amazon S3 bucket, including events for CodeGuru Reviewer. If you don't configure a trail, you can still view the most recent events in the CloudTrail console in **Event history**. Using the information collected by CloudTrail, you can determine the request that was made to CodeGuru Reviewer, 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 [What is AWS CloudTrail?](https://docs.aws.amazon.com/awscloudtrail/latest/userguide/cloudtrail-user-guide.html) in the *AWS CloudTrail User Guide*.
## CodeGuru Reviewer information in CloudTrail
CloudTrail is enabled on your AWS account when you create the account. When supported event activity occurs in CodeGuru Reviewer, that activity is recorded in a CloudTrail event 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](https://docs.aws.amazon.com/awscloudtrail/latest/userguide/view-cloudtrail-events.html) in the *AWS CloudTrail User Guide*.
For an ongoing record of events in your AWS account, including events for CodeGuru Reviewer, 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 on the event data collected in CloudTrail logs. For more information, see the following articles in the *AWS CloudTrail User Guide*:
+ [Creating a trail for your AWS account](https://docs.aws.amazon.com/awscloudtrail/latest/userguide/cloudtrail-create-and-update-a-trail.html)
+ [AWS service integrations with CloudTrail Logs](https://docs.aws.amazon.com/awscloudtrail/latest/userguide/cloudtrail-aws-service-specific-topics.html#cloudtrail-aws-service-specific-topics-integrations)
+ [Configuring Amazon SNS notifications for CloudTrail](https://docs.aws.amazon.com/awscloudtrail/latest/userguide/getting_notifications_top_level.html)
+ [Receiving CloudTrail log files from multiple regions](https://docs.aws.amazon.com/awscloudtrail/latest/userguide/receive-cloudtrail-log-files-from-multiple-regions.html) and [Receiving CloudTrail log files from multiple accounts](https://docs.aws.amazon.com/awscloudtrail/latest/userguide/cloudtrail-receive-logs-from-multiple-accounts.html)
CodeGuru Reviewer supports logging the following actions as events in CloudTrail log files:
+ [AssociateRepository](https://docs.aws.amazon.com/codeguru/latest/reviewer-api/API_AssociateRepository.html)
+ [DescribeCodeReview](https://docs.aws.amazon.com/codeguru/latest/reviewer-api/API_DescribeCodeReview.html)
+ [DescribeRecommendationFeedback](https://docs.aws.amazon.com/codeguru/latest/reviewer-api/API_DescribeRecommendationFeedback.html)
+ [DescribeRepositoryAssociation](https://docs.aws.amazon.com/codeguru/latest/reviewer-api/API_DescribeRepositoryAssociation.html)
+ [DisassociateRepository](https://docs.aws.amazon.com/codeguru/latest/reviewer-api/API_DisassociateRepository.html)
+ [ListCodeReviews](https://docs.aws.amazon.com/codeguru/latest/reviewer-api/API_ListCodeReviews.html)
+ [ListRecommendationFeedback](https://docs.aws.amazon.com/codeguru/latest/reviewer-api/API_ListRecommendationFeedback.html)
+ [ListRecommendations](https://docs.aws.amazon.com/codeguru/latest/reviewer-api/API_ListRecommendations.html)
+ [ListRepositoryAssociations](https://docs.aws.amazon.com/codeguru/latest/reviewer-api/API_ListRepositoryAssociations.html)
+ [PutRecommendationFeedback](https://docs.aws.amazon.com/codeguru/latest/reviewer-api/API_PutRecommendationFeedback.html)
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 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](https://docs.aws.amazon.com/awscloudtrail/latest/userguide/cloudtrail-event-reference-user-identity.html) in the *AWS CloudTrail User Guide*.
## Example: CodeGuru Reviewer 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 that demonstrates the `AssociateRepository` action.
```
{
"eventVersion": "1.05",
"userIdentity": {
"type": "AssumedRole",
"principalId": "AAAAAAAAAEXAMPLE:TestSession",
"arn": "arn:aws:sts::123456789012:assumed-role/TestRole/TestSession",
"accountId": "123456789012",
"accessKeyId": "AKIAIOSFODNN7EXAMPLE",
"sessionContext": {
"attributes": {
"mfaAuthenticated": "false",
"creationDate": "2019-11-27T02:06:30Z"
},
"sessionIssuer": {
"type": "Role",
"principalId": "AIDACKCEVSQ6C2EXAMPLE",
"arn": "arn:aws:iam::123456789012:role/TestRole",
"accountId": "123456789012",
"userName": "TestRole"
}
}
},
"eventTime": "2019-11-27T03:46:35Z",
"eventSource": "codeguru-reviewer.amazonaws.com",
"eventName": "AssociateRepository",
"awsRegion": "us-west-2",
"sourceIPAddress": "52.13.164.128",
"userAgent": "aws-internal/3 aws-sdk-java/1.11.672 Linux/4.14.138-99.102.amzn2.x86_64 OpenJDK_64-Bit_Server_VM/25.201-b09 java/1.8.0_201 vendor/Oracle_Corporation exec-env/AWS_Lambda_java8",
"requestParameters": {
"ClientRequestToken": "7485aa2f-ce15-4bc6-a6cc-2a76d702f15f",
"Repository": {
"CodeCommit": {
"Name": "repository-name"
}
}
},
"responseElements": {
"RepositoryAssociation": {
"AssociationArn": "arn:aws:codeguru-reviewer:us-west-2:123456789012:association:6eda8e7a-319a-4750-bca8-7f73a816fadc",
"AssociationId": "6eda8e7a-319a-4750-bca8-7f73a816fadc",
"CreatedTimeStamp": 1574826395.662,
"LastUpdatedTimeStamp": 1574826395.662,
"Name": "TestRepository",
"Owner": "123456789012",
"ProviderType": "CodeCommit",
"State": "Associating",
"StateReason": "Pending Repository Association"
}
},
"requestID": "cb8c167e-EXAMPLE",
"eventID": "e3c6f4ce-EXAMPLE",
"readOnly": false,
"eventType": "AwsApiCall",
"recipientAccountId": "123456789012"
}
```
# Monitoring CodeGuru Reviewer with Amazon CloudWatch
You can use Amazon CloudWatch to monitor the number of recommendations created for your source code in an associated repository over time.
The recommendations are available for three *dimensions*:
+ `ProviderType` – View the number of recommendations for a provider type. You can view the count of recommendations in all repositories in AWS CodeCommit, your Bitbucket account, your GitHub account, or your GitHub Enterprise Server account, over a period of time.
+ `CodeReviewType` – View the number of recommendations for a code review type. The one available code review type is `PullRequest`. Use it to view the count of recommendations in one pull request.
+ `RepositoryName` – View the count of recommendations for one repository over a period of time.
You can set a CloudWatch alarm that notifies you when the number of recommendations exceeds a threshold you set.
For more information about creating and using CloudWatch alarms and metrics, see [Using Amazon CloudWatch alarms](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/AlarmThatSendsEmail.html).
You can track the following metric for each dimension over a period of time.
****
| Metric | Description |
| --- | --- |
| RecommendationsPublishedCount | The number of recommendations over a period of time per `ProviderType`, `CodeReviewType`, or `RepositoryName` for completed code reviews. Units: Count Valid CloudWatch statistic: Count Valid CloudWatch period: 1 hour |
**Topics**
+ [
# Monitoring recommendations with CloudWatch metrics
](cloudwatch-metric.md)
+ [
# Monitoring CodeGuru Reviewer recommendations with CloudWatch alarms
](cloudwatch-alarm.md)
# Monitoring recommendations with CloudWatch metrics
You can view Amazon CodeGuru Reviewer metrics in the Amazon CloudWatch console.
**To access recommendation metrics**
1. Sign in to the AWS Management Console and open the CloudWatch console at [https://console.aws.amazon.com/cloudwatch/](https://console.aws.amazon.com/cloudwatch/).
1. In the navigation pane, choose **Metrics**.
1. On the **All metrics** tab, choose **AWS/CodeGuruReviewer**.
1. Choose the dimension you want metrics for: **ProviderType**, **CodeReviewType**, or **RepositoryName**. The graph on the page displays metrics for recommendations for all selected items that are available for the selected dimension.
# Monitoring CodeGuru Reviewer recommendations with CloudWatch alarms
You can create an Amazon CloudWatch alarm for your CodeGuru Reviewer recommendations to monitor their count over time.
An alarm watches the number of recommendations for one of three CodeGuru Reviewer CloudWatch dimensions that you specify:
+ `ProviderType` – View the number of recommendations for a provider type. You can view the count of recommendations in all repositories in AWS CodeCommit, your Bitbucket account, your GitHub account, or your GitHub Enterprise Server account, over a period of time.
+ `CodeReviewType` – View the number of recommendations for a code review type. The one available code review type is `PullRequest`. Use it to view the count of recommendations in one pull request.
+ `RepositoryName` – View the count of recommendations for one repository over a period of time.
You set one or more actions that happen when the number of recommendations for a dimension exceeds a count over a number of time periods you choose. For example, you can specify that an Amazon SNS notification is sent when more than 25 recommendations are generated for a branch in a repository within an hour.
A user or role must have CloudWatch `PutMetricAlarm` permissions to create an alarm. For more information, see [Using identity-based policies for CodeGuru Reviewer](auth-and-access-control-iam-identity-based-access-control.md) and [Amazon CloudWatch permissions reference](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/permissions-reference-cw.html) in the *Amazon CloudWatch User Guide*.
**To create a CloudWatch alarm for CodeGuru Reviewer recommendations**
1. Sign in to the AWS Management Console and open the CloudWatch console at [https://console.aws.amazon.com/cloudwatch/](https://console.aws.amazon.com/cloudwatch/).
1. In the navigation pane, choose **Alarms**.
1. Choose **Create alarm**.
1. Choose **Select metric**.
1. Choose **AWS/CodeGuruReviewer**.
1. Choose the dimension to monitor: **ProviderType**, **CodeReviewType**, or **RepositoryName**. Then choose a metric to create an alarm for.
1. Continue through the process to create your alarm.
For more information about setting up CloudWatch alarms in the CloudWatch console, see [Using Amazon CloudWatch alarms](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/AlarmThatSendsEmail.html) in the *Amazon CloudWatch User Guide*.