Class: Aws::CloudWatch::Types::AnomalyDetector

Inherits:

Struct

• Object
• Struct
• Aws::CloudWatch::Types::AnomalyDetector

Includes:

Structure

Defined in:

lib/aws-sdk-cloudwatch/types.rb

Overview

An anomaly detection model associated with a particular CloudWatch metric, statistic, or metric math expression. 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.

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #configuration ⇒ Types::AnomalyDetectorConfiguration

  The configuration specifies details about how the anomaly detection model is to be trained, including time ranges to exclude from use for training the model, and the time zone to use for the metric.

• #dimensions ⇒ Array<Types::Dimension>

  The metric dimensions associated with the anomaly detection model.

• #metric_characteristics ⇒ Types::MetricCharacteristics

  This object includes parameters that you can use to provide information about your metric to CloudWatch to help it build more accurate anomaly detection models.

• #metric_math_anomaly_detector ⇒ Types::MetricMathAnomalyDetector

  The CloudWatch metric math expression for this anomaly detector.

• #metric_name ⇒ String

  The name of the metric associated with the anomaly detection model.

• #namespace ⇒ String

  The namespace of the metric associated with the anomaly detection model.

• #single_metric_anomaly_detector ⇒ Types::SingleMetricAnomalyDetector

  The CloudWatch metric and statistic for this anomaly detector.

• #stat ⇒ String

  The statistic associated with the anomaly detection model.

• #state_value ⇒ String

  The current status of the anomaly detector’s training.

Instance Attribute Details

#configuration ⇒ Types::AnomalyDetectorConfiguration

The configuration specifies details about how the anomaly detection model is to be trained, including time ranges to exclude from use for training the model, and the time zone to use for the metric.

# File 'lib/aws-sdk-cloudwatch/types.rb', line 190

class AnomalyDetector < Struct.new(
  :namespace,
  :metric_name,
  :dimensions,
  :stat,
  :configuration,
  :state_value,
  :metric_characteristics,
  :single_metric_anomaly_detector,
  :metric_math_anomaly_detector)
  SENSITIVE = []
  include Aws::Structure
end

#dimensions ⇒ Array<Types::Dimension>

The metric dimensions associated with the anomaly detection model.

# File 'lib/aws-sdk-cloudwatch/types.rb', line 190

class AnomalyDetector < Struct.new(
  :namespace,
  :metric_name,
  :dimensions,
  :stat,
  :configuration,
  :state_value,
  :metric_characteristics,
  :single_metric_anomaly_detector,
  :metric_math_anomaly_detector)
  SENSITIVE = []
  include Aws::Structure
end

#metric_characteristics ⇒ Types::MetricCharacteristics

This object includes parameters that you can use to provide information about your metric to CloudWatch to help it build more accurate anomaly detection models. Currently, it includes the PeriodicSpikes parameter.

# File 'lib/aws-sdk-cloudwatch/types.rb', line 190

class AnomalyDetector < Struct.new(
  :namespace,
  :metric_name,
  :dimensions,
  :stat,
  :configuration,
  :state_value,
  :metric_characteristics,
  :single_metric_anomaly_detector,
  :metric_math_anomaly_detector)
  SENSITIVE = []
  include Aws::Structure
end

#metric_math_anomaly_detector ⇒ Types::MetricMathAnomalyDetector

The CloudWatch metric math expression for this anomaly detector.

# File 'lib/aws-sdk-cloudwatch/types.rb', line 190

class AnomalyDetector < Struct.new(
  :namespace,
  :metric_name,
  :dimensions,
  :stat,
  :configuration,
  :state_value,
  :metric_characteristics,
  :single_metric_anomaly_detector,
  :metric_math_anomaly_detector)
  SENSITIVE = []
  include Aws::Structure
end

#metric_name ⇒ String

The name of the metric associated with the anomaly detection model.

# File 'lib/aws-sdk-cloudwatch/types.rb', line 190

class AnomalyDetector < Struct.new(
  :namespace,
  :metric_name,
  :dimensions,
  :stat,
  :configuration,
  :state_value,
  :metric_characteristics,
  :single_metric_anomaly_detector,
  :metric_math_anomaly_detector)
  SENSITIVE = []
  include Aws::Structure
end

#namespace ⇒ String

The namespace of the metric associated with the anomaly detection model.

# File 'lib/aws-sdk-cloudwatch/types.rb', line 190

class AnomalyDetector < Struct.new(
  :namespace,
  :metric_name,
  :dimensions,
  :stat,
  :configuration,
  :state_value,
  :metric_characteristics,
  :single_metric_anomaly_detector,
  :metric_math_anomaly_detector)
  SENSITIVE = []
  include Aws::Structure
end

#single_metric_anomaly_detector ⇒ Types::SingleMetricAnomalyDetector

The CloudWatch metric and statistic for this anomaly detector.

# File 'lib/aws-sdk-cloudwatch/types.rb', line 190

class AnomalyDetector < Struct.new(
  :namespace,
  :metric_name,
  :dimensions,
  :stat,
  :configuration,
  :state_value,
  :metric_characteristics,
  :single_metric_anomaly_detector,
  :metric_math_anomaly_detector)
  SENSITIVE = []
  include Aws::Structure
end

#stat ⇒ String

The statistic associated with the anomaly detection model.

# File 'lib/aws-sdk-cloudwatch/types.rb', line 190

class AnomalyDetector < Struct.new(
  :namespace,
  :metric_name,
  :dimensions,
  :stat,
  :configuration,
  :state_value,
  :metric_characteristics,
  :single_metric_anomaly_detector,
  :metric_math_anomaly_detector)
  SENSITIVE = []
  include Aws::Structure
end

#state_value ⇒ String

The current status of the anomaly detector’s training.

# File 'lib/aws-sdk-cloudwatch/types.rb', line 190

class AnomalyDetector < Struct.new(
  :namespace,
  :metric_name,
  :dimensions,
  :stat,
  :configuration,
  :state_value,
  :metric_characteristics,
  :single_metric_anomaly_detector,
  :metric_math_anomaly_detector)
  SENSITIVE = []
  include Aws::Structure
end