CloudWatch metrics for Rekognition

This section contains information about the Amazon CloudWatch metrics and the Operation dimension available for Amazon Rekognition.

You can also see an aggregate view of Rekognition metrics from the Rekognition console. For more information, see Exercise 4: See aggregated metrics (console).

CloudWatch metrics for Rekognition

The following table summarizes the Rekognition metrics.

Metric	Description
SuccessfulRequestCount	The number of successful requests. The response code range for a successful request is 200 to 299. Unit: Count Valid statistics: Sum,Average
ThrottledCount	The number of throttled requests. Rekognition throttles a request when it receives more requests than the limit of transactions per second set for your account. If the limit set for your account is frequently exceeded, you can request a limit increase. To request an increase, see AWS Service Limits. Unit: Count Valid statistics: Sum,Average
ResponseTime	The time in milliseconds for Rekognition to compute the response. Units: Count for Data Samples statistics Milliseconds for Average statistics Valid statistics: Data Samples,Average Note The ResponseTime metric is not included in the Rekognition metric pane.
DetectedFaceCount	The number of faces detected with the IndexFaces or DetectFaces operation. Unit: Count Valid statistics: Sum,Average
DetectedLabelCount	The number of labels detected with the DetectLabels operation. Unit: Count Valid statistics: Sum,Average
ServerErrorCount	The number of server errors. The response code range for a server error is 500 to 599. Unit: Count Valid statistics: Sum, Average
UserErrorCount	The number of user errors (invalid parameters, invalid image, no permission, etc). The response code range for a user error is 400 to 499. Unit: Count Valid statistics: Sum,Average
MinInferenceUnits	The minimum number of inference units specified during the StartProjectVersion request. Unit: Count Valid statistics: Average
MaxInferenceUnits	The maximum number of inference units specified during the StartProjectVersion request. Unit: Count Valid statistics: Average
DesiredInferenceUnits	The number of inference units to which Rekognition is scaling up or down. Unit: Count Valid statistics: Average
InServiceInferenceUnits	The number of inference units that the model is using. Unit: Count Valid statistics: Average It is recommended that you use the Average statistic to obtain the 1 minute average of how many instances are used.

CloudWatch dimension for Rekognition

To retrieve operation-specific metrics, use the Rekognition namespace and provide an operation dimension.

For more information about dimensions, see Dimensions in the Amazon CloudWatch User Guide.

CloudWatch dimension for Rekognition Custom Labels

The following table displays the CloudWatch dimensions available for use with Rekognition Custom Labels:

Dimension	Description
ProjectName	The name of the Rekognition Custom Labels project you created with CreateProject.
VersionName	The name of the Rekognition Custom Labels project version you created with CreateProjectVersion.

For more information about dimensions, see Dimensions in the Amazon CloudWatch User Guide.