DynamicMetricCriteria Class

Criterion for dynamic threshold.

All required parameters must be populated in order to send to Azure.

Inheritance

azure.mgmt.monitor.v2018_03_01.models._models_py3.MultiMetricCriteria

DynamicMetricCriteria

Constructor

DynamicMetricCriteria(*, name: str, metric_name: str, time_aggregation: Union[str, azure.mgmt.monitor.v2018_03_01.models._monitor_management_client_enums.AggregationTypeEnum], operator: Union[str, azure.mgmt.monitor.v2018_03_01.models._monitor_management_client_enums.DynamicThresholdOperator], alert_sensitivity: Union[str, azure.mgmt.monitor.v2018_03_01.models._monitor_management_client_enums.DynamicThresholdSensitivity], failing_periods: azure.mgmt.monitor.v2018_03_01.models._models_py3.DynamicThresholdFailingPeriods, additional_properties: Optional[Dict[str, Any]] = None, metric_namespace: Optional[str] = None, dimensions: Optional[List[azure.mgmt.monitor.v2018_03_01.models._models_py3.MetricDimension]] = None, skip_metric_validation: Optional[bool] = None, ignore_data_before: Optional[datetime.datetime] = None, **kwargs)

Variables

additional_properties

dict[str, any]

Unmatched properties from the message are deserialized to this collection.

criterion_type

str or <xref:$>(<xref:python-base-namespace>)CriterionType

Required. Specifies the type of threshold criteria.Constant filled by server. Possible values include: "StaticThresholdCriterion", "DynamicThresholdCriterion".

name

str

Required. Name of the criteria.

metric_name

str

Required. Name of the metric.

metric_namespace

str

Namespace of the metric.

time_aggregation

str or <xref:$>(<xref:python-base-namespace>)AggregationTypeEnum

Required. the criteria time aggregation types. Possible values include: "Average", "Count", "Minimum", "Maximum", "Total".

dimensions

list[<xref:$>(<xref:python-base-namespace>)MetricDimension]

List of dimension conditions.

skip_metric_validation

bool

Allows creating an alert rule on a custom metric that isn't yet emitted, by causing the metric validation to be skipped.

operator

str or <xref:$>(<xref:python-base-namespace>)DynamicThresholdOperator

Required. The operator used to compare the metric value against the threshold. Possible values include: "GreaterThan", "LessThan", "GreaterOrLessThan".

alert_sensitivity

str or <xref:$>(<xref:python-base-namespace>)DynamicThresholdSensitivity

Required. The extent of deviation required to trigger an alert. This will affect how tight the threshold is to the metric series pattern. Possible values include: "Low", "Medium", "High".

failing_periods

<xref:$>(<xref:python-base-namespace>)DynamicThresholdFailingPeriods

Required. The minimum number of violations required within the selected lookback time window required to raise an alert.

ignore_data_before

datetime

Use this option to set the date from which to start learning the metric historical data and calculate the dynamic thresholds (in ISO8601 format).