Monitoring Lookout for Vision with Amazon CloudWatch - Amazon Lookout for Vision

Monitoring Lookout for Vision with Amazon CloudWatch

You can monitor Lookout for Vision using CloudWatch, which collects raw data and processes it into readable, near real-time metrics. These statistics are kept for 15 months, so that you can access historical information and gain a better perspective on how your web application or service is performing. You can also set alarms that watch for certain thresholds, and send notifications or take actions when those thresholds are met. For more information, see the Amazon CloudWatch User Guide.

The Lookout for Vision service reports the following metrics in the AWS/LookoutVision namespace.

Metric Description

DetectedAnomalyCount

The number of anomalies detected in a project

Valid Statistics: Sum,Average

Unit: Count

ProcessedImageCount

The total number of images run through anomaly detection

Valid Statistics: Sum,Average

Unit: Count

InvalidImageCount

The number of images that were invalid and could not return a result

Valid Statistics: Sum,Average

Unit: Count

SuccessfulRequestCount

The number of successful API calls

Valid Statistics: Sum,Average

Unit: Count

ErrorCount

The number of API errors

Valid Statistics: Sum,Average

Unit: Count

ThrottledCount

The number of API errors that were due to throttling

Valid Statistics: Sum,Average

Unit: Count

Time

The time in milliseconds for Lookout for Vision to compute the anomaly detection

Valid Statistics: Data Samples,Average

Units: Milliseconds for Average statistics and Count for Data Samples statistics

MinInferenceUnits

The minimum number of inference units specified during the StartModel request.

Valid statistics: Average

Unit: Count

MaxInferenceUnits

The maximum number of inference units specified during the StartModelrequest.

Valid statistics: Average

Unit: Count

DesiredInferenceUnits

The number of inference units to which Lookout for Vision is scaling up or down.

Valid statistics: Average

Unit: Count

InServiceInferenceUnits

The number of inference units that the model is using.

Valid statistics: Average

It is recommended that you use the Average statistic to obtain the 1 minute average of how many instances are used.

Unit: Count

The following dimensions are supported for the Lookout for Vision metrics.

Dimension Description

ProjectName

You can split metrics by project to see which projects are having problems or need to be updated.

ModelVersion

You can split metrics by model version to see which models are having problems or need to be updated.