AWS CloudWatch · Schema

AnomalyDetector

An anomaly detection model associated with a particular CloudWatch metric.

AlarmsAwsDashboardsLogsMetricsMonitoringObservability

Properties

Name Type Description
Namespace string The namespace of the metric associated with the anomaly detection model.
MetricName string The name of the metric associated with the anomaly detection model.
Dimensions array The metric dimensions associated with the anomaly detection model.
Stat string The statistic associated with the anomaly detection model.
Configuration object
StateValue string The current status of the anomaly detector model.
MetricCharacteristics object
SingleMetricAnomalyDetector object
MetricMathAnomalyDetector object
View JSON Schema on GitHub

JSON Schema

cloudwatch-anomalydetector-schema.json Raw ↑
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "#/components/schemas/AnomalyDetector",
  "title": "AnomalyDetector",
  "type": "object",
  "description": "An anomaly detection model associated with a particular CloudWatch metric.",
  "properties": {
    "Namespace": {
      "type": "string",
      "description": "The namespace of the metric associated with the anomaly detection model.",
      "example": "example_value"
    },
    "MetricName": {
      "type": "string",
      "description": "The name of the metric associated with the anomaly detection model.",
      "example": "example_value"
    },
    "Dimensions": {
      "type": "array",
      "items": {
        "$ref": "#/components/schemas/Dimension"
      },
      "description": "The metric dimensions associated with the anomaly detection model.",
      "example": []
    },
    "Stat": {
      "type": "string",
      "description": "The statistic associated with the anomaly detection model.",
      "example": "example_value"
    },
    "Configuration": {
      "$ref": "#/components/schemas/AnomalyDetectorConfiguration"
    },
    "StateValue": {
      "type": "string",
      "enum": [
        "PENDING_TRAINING",
        "TRAINED_INSUFFICIENT_DATA",
        "TRAINED"
      ],
      "description": "The current status of the anomaly detector model.",
      "example": "PENDING_TRAINING"
    },
    "MetricCharacteristics": {
      "$ref": "#/components/schemas/MetricCharacteristics"
    },
    "SingleMetricAnomalyDetector": {
      "$ref": "#/components/schemas/SingleMetricAnomalyDetector"
    },
    "MetricMathAnomalyDetector": {
      "$ref": "#/components/schemas/MetricMathAnomalyDetector"
    }
  }
}