cloudwatch_put_anomaly_detector: Creates an anomaly detection model for a CloudWatch metric

In paws.management: 'Amazon Web Services' Management & Governance Services

Creates an anomaly detection model for a CloudWatch metric

Description

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.

See https://www.paws-r-sdk.com/docs/cloudwatch_put_anomaly_detector/ for full documentation.

Usage

cloudwatch_put_anomaly_detector(
  Namespace = NULL,
  MetricName = NULL,
  Dimensions = NULL,
  Stat = NULL,
  Configuration = NULL,
  SingleMetricAnomalyDetector = NULL,
  MetricMathAnomalyDetector = NULL
)

Arguments

Namespace	The namespace of the metric to create the anomaly detection model for.
MetricName	The name of the metric to create the anomaly detection model for.
Dimensions	The metric dimensions to create the anomaly detection model for.
Stat	The statistic to use for the metric and the anomaly detection model.
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.
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 MetricMatchAnomalyDetector parameters of PutAnomalyDetectorInput Instead, specify the single metric anomaly detector attributes as part of the property SingleMetricAnomalyDetector.
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.

paws.management documentation built on Sept. 12, 2023, 1:06 a.m.