class Amazonite::CloudWatch::AnomalyDetector

• Amazonite::CloudWatch::AnomalyDetector
• Reference
• Object

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.

Included Modules

• JSON::Serializable

Defined in:

cloudwatch/anomaly_detector.cr

Constructors

• .new(pull : JSON::PullParser)
• .new(anomaly_detector_id : String | Nil = nil, namespace : String | Nil = nil, metric_name : String | Nil = nil, dimensions : Array(Dimension) | Nil = nil, stat : String | Nil = nil, configuration : AnomalyDetectorConfiguration | Nil = nil, state_value : AnomalyDetectorStateValue | Nil = nil, metric_characteristics : MetricCharacteristics | Nil = nil, single_metric_anomaly_detector : SingleMetricAnomalyDetector | Nil = nil, metric_math_anomaly_detector : MetricMathAnomalyDetector | Nil = nil)

Instance Method Summary

• #==(other : self)

  Returns true if this reference is the same as other.

• #anomaly_detector_id : String | Nil

  The unique identifier of the anomaly detector.

• #anomaly_detector_id=(anomaly_detector_id : String | Nil)

  The unique identifier of the anomaly detector.

• #configuration : AnomalyDetectorConfiguration | Nil

  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.

• #configuration=(configuration : AnomalyDetectorConfiguration | Nil)

  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(Dimension) | Nil

  The metric dimensions associated with the anomaly detection model.

• #dimensions=(dimensions : Array(Dimension) | Nil)

  The metric dimensions associated with the anomaly detection model.

• #hash(hasher)

  See Object#hash(hasher)

• #metric_characteristics : MetricCharacteristics | Nil

  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_characteristics=(metric_characteristics : MetricCharacteristics | Nil)

  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 : MetricMathAnomalyDetector | Nil

  The CloudWatch metric math expression for this anomaly detector.

• #metric_math_anomaly_detector=(metric_math_anomaly_detector : MetricMathAnomalyDetector | Nil)

  The CloudWatch metric math expression for this anomaly detector.

• #metric_name : String | Nil

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

• #metric_name=(metric_name : String | Nil)

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

• #namespace : String | Nil

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

• #namespace=(namespace : String | Nil)

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

• #single_metric_anomaly_detector : SingleMetricAnomalyDetector | Nil

  The CloudWatch metric and statistic for this anomaly detector.

• #single_metric_anomaly_detector=(single_metric_anomaly_detector : SingleMetricAnomalyDetector | Nil)

  The CloudWatch metric and statistic for this anomaly detector.

• #stat : String | Nil

  The statistic associated with the anomaly detection model.

• #stat=(stat : String | Nil)

  The statistic associated with the anomaly detection model.

• #state_value : AnomalyDetectorStateValue | Nil

  The current status of the anomaly detector's training.

• #state_value=(state_value : AnomalyDetectorStateValue | Nil)

  The current status of the anomaly detector's training.

• #validate! : Nil

Constructor Detail

Instance Method Detail