Cloud Monitoring V3 API - Class Google::Cloud::Monitoring::V3::AlertPolicy::Condition::MetricAbsence (v0.8.0)

Version 0.8.0

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Reference documentation and code samples for the Cloud Monitoring V3 API class Google::Cloud::Monitoring::V3::AlertPolicy::Condition::MetricAbsence.

A condition type that checks that monitored resources are reporting data. The configuration defines a metric and a set of monitored resources. The predicate is considered in violation when a time series for the specified metric of a monitored resource does not include any data in the specified duration.

Inherits

• Object

Extended By

• Google::Protobuf::MessageExts::ClassMethods

Includes

• Google::Protobuf::MessageExts

Methods

#aggregations

def aggregations() -> ::Array<::Google::Cloud::Monitoring::V3::Aggregation>

Returns

• (::Array<::Google::Cloud::Monitoring::V3::Aggregation>) — Specifies the alignment of data points in individual time series as well as how to combine the retrieved time series together (such as when aggregating multiple streams on each resource to a single stream for each resource or when aggregating streams across all members of a group of resources). Multiple aggregations are applied in the order specified.

  This field is similar to the one in the ListTimeSeries request. It is advisable to use the ListTimeSeries method when debugging this field.

#aggregations=

def aggregations=(value) -> ::Array<::Google::Cloud::Monitoring::V3::Aggregation>

Parameter

• value (::Array<::Google::Cloud::Monitoring::V3::Aggregation>) — Specifies the alignment of data points in individual time series as well as how to combine the retrieved time series together (such as when aggregating multiple streams on each resource to a single stream for each resource or when aggregating streams across all members of a group of resources). Multiple aggregations are applied in the order specified.

  This field is similar to the one in the ListTimeSeries request. It is advisable to use the ListTimeSeries method when debugging this field.

Returns

• (::Array<::Google::Cloud::Monitoring::V3::Aggregation>) — Specifies the alignment of data points in individual time series as well as how to combine the retrieved time series together (such as when aggregating multiple streams on each resource to a single stream for each resource or when aggregating streams across all members of a group of resources). Multiple aggregations are applied in the order specified.

  This field is similar to the one in the ListTimeSeries request. It is advisable to use the ListTimeSeries method when debugging this field.

#duration

def duration() -> ::Google::Protobuf::Duration

Returns

• (::Google::Protobuf::Duration) — The amount of time that a time series must fail to report new data to be considered failing. The minimum value of this field is 120 seconds. Larger values that are a multiple of a minute--for example, 240 or 300 seconds--are supported. If an invalid value is given, an error will be returned. The Duration.nanos field is ignored.

#duration=

def duration=(value) -> ::Google::Protobuf::Duration

Parameter

• value (::Google::Protobuf::Duration) — The amount of time that a time series must fail to report new data to be considered failing. The minimum value of this field is 120 seconds. Larger values that are a multiple of a minute--for example, 240 or 300 seconds--are supported. If an invalid value is given, an error will be returned. The Duration.nanos field is ignored.

Returns

• (::Google::Protobuf::Duration) — The amount of time that a time series must fail to report new data to be considered failing. The minimum value of this field is 120 seconds. Larger values that are a multiple of a minute--for example, 240 or 300 seconds--are supported. If an invalid value is given, an error will be returned. The Duration.nanos field is ignored.

#filter

def filter() -> ::String

Returns

• (::String) — Required. A filter that identifies which time series should be compared with the threshold.

  The filter is similar to the one that is specified in the ListTimeSeries request (that call is useful to verify the time series that will be retrieved / processed). The filter must specify the metric type and the resource type. Optionally, it can specify resource labels and metric labels. This field must not exceed 2048 Unicode characters in length.

#filter=

def filter=(value) -> ::String

Parameter

• value (::String) — Required. A filter that identifies which time series should be compared with the threshold.

  The filter is similar to the one that is specified in the ListTimeSeries request (that call is useful to verify the time series that will be retrieved / processed). The filter must specify the metric type and the resource type. Optionally, it can specify resource labels and metric labels. This field must not exceed 2048 Unicode characters in length.

Returns

• (::String) — Required. A filter that identifies which time series should be compared with the threshold.

  The filter is similar to the one that is specified in the ListTimeSeries request (that call is useful to verify the time series that will be retrieved / processed). The filter must specify the metric type and the resource type. Optionally, it can specify resource labels and metric labels. This field must not exceed 2048 Unicode characters in length.

#trigger

def trigger() -> ::Google::Cloud::Monitoring::V3::AlertPolicy::Condition::Trigger

Returns

• (::Google::Cloud::Monitoring::V3::AlertPolicy::Condition::Trigger) — The number/percent of time series for which the comparison must hold in order for the condition to trigger. If unspecified, then the condition will trigger if the comparison is true for any of the time series that have been identified by filter and aggregations.

#trigger=

def trigger=(value) -> ::Google::Cloud::Monitoring::V3::AlertPolicy::Condition::Trigger

Parameter

• value (::Google::Cloud::Monitoring::V3::AlertPolicy::Condition::Trigger) — The number/percent of time series for which the comparison must hold in order for the condition to trigger. If unspecified, then the condition will trigger if the comparison is true for any of the time series that have been identified by filter and aggregations.

Returns

• (::Google::Cloud::Monitoring::V3::AlertPolicy::Condition::Trigger) — The number/percent of time series for which the comparison must hold in order for the condition to trigger. If unspecified, then the condition will trigger if the comparison is true for any of the time series that have been identified by filter and aggregations.