Request Parameters Errors Examples See Also

PutAnomalyDetector

Creates an anomaly detection model for a CloudWatch metric. You can use the model to display a band of expected normal values when the metric is graphed.

If you have enabled unified cross-account observability, and this account is a monitoring account, the metric can be in the same account or a source account. You can specify the account ID in the object you specify in the SingleMetricAnomalyDetector parameter.

For more information, see CloudWatch Anomaly Detection.

Request Parameters

For information about the parameters that are common to all actions, see Common Parameters.

Configuration

The configuration specifies details about how the anomaly detection model is to be trained, including time ranges to exclude when training and updating the model. You can specify as many as 10 time ranges.

The configuration can also include the time zone to use for the metric.

Type: AnomalyDetectorConfiguration object

Required: No

Dimensions.member.N

This parameter has been deprecated.

The metric dimensions to create the anomaly detection model for.

Type: Array of Dimension objects

Array Members: Maximum number of 30 items.

Required: No

MetricMathAnomalyDetector

The metric math anomaly detector to be created.

When using MetricMathAnomalyDetector, you cannot include the following parameters in the same operation:

Dimensions
MetricName
Namespace
Stat
the SingleMetricAnomalyDetector parameters of PutAnomalyDetectorInput

Instead, specify the metric math anomaly detector attributes as part of the property MetricMathAnomalyDetector.

Type: MetricMathAnomalyDetector object

Required: No

MetricName

This parameter has been deprecated.

The name of the metric to create the anomaly detection model for.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 255.

Required: No

Namespace

This parameter has been deprecated.

The namespace of the metric to create the anomaly detection model for.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 255.

Pattern: [^:].*

Required: No

SingleMetricAnomalyDetector

A single metric anomaly detector to be created.

When using SingleMetricAnomalyDetector, you cannot include the following parameters in the same operation:

Dimensions
MetricName
Namespace
Stat
the MetricMathAnomalyDetector parameters of PutAnomalyDetectorInput

Instead, specify the single metric anomaly detector attributes as part of the property SingleMetricAnomalyDetector.

Type: SingleMetricAnomalyDetector object

Required: No

Stat

This parameter has been deprecated.

The statistic to use for the metric and the anomaly detection model.

Type: String

Length Constraints: Maximum length of 50.

Pattern: (SampleCount|Average|Sum|Minimum|Maximum|IQM|(p|tc|tm|ts|wm)(\d{1,2}(\.\d{0,10})?|100)|[ou]\d+(\.\d*)?)(_E|_L|_H)?|(TM|TC|TS|WM)\(((((\d{1,2})(\.\d{0,10})?|100(\.0{0,10})?)%)?:((\d{1,2})(\.\d{0,10})?|100(\.0{0,10})?)%|((\d{1,2})(\.\d{0,10})?|100(\.0{0,10})?)%:(((\d{1,2})(\.\d{0,10})?|100(\.0{0,10})?)%)?)\)|(TM|TC|TS|WM|PR)\(((\d+(\.\d{0,10})?|(\d+(\.\d{0,10})?[Ee][+-]?\d+)):((\d+(\.\d{0,10})?|(\d+(\.\d{0,10})?[Ee][+-]?\d+)))?|((\d+(\.\d{0,10})?|(\d+(\.\d{0,10})?[Ee][+-]?\d+)))?:(\d+(\.\d{0,10})?|(\d+(\.\d{0,10})?[Ee][+-]?\d+)))\)

Required: No

Errors

For information about the errors that are common to all actions, see Common Errors.

InternalServiceError

Request processing has failed due to some unknown error, exception, or failure.

HTTP Status Code: 500

InvalidParameterCombination

Parameters were used together that cannot be used together.

HTTP Status Code: 400

InvalidParameterValue

The value of an input parameter is bad or out-of-range.

HTTP Status Code: 400

LimitExceeded

The operation exceeded one or more limits.

HTTP Status Code: 400

MissingParameter

An input parameter that is required is missing.

HTTP Status Code: 400

Examples

Example

The following example creates an anomaly detection model for the metric CPUUtilization.

Sample Request


{
    "Namespace": "AWS/EC2",
    "MetricName:": "CPUUtilization",
    "Stat": "Average",
    "Dimensions": [
        {
            "Name": "dimension1",
            "Value": "value1"
        },
        {
            "Name": "dimension2",
            "Value": "value2"
        }
    ]
}