Cloud Monitoring V3 API - Class Google::Cloud::Monitoring::V3::AlertPolicy::Condition::MonitoringQueryLanguageCondition (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::MonitoringQueryLanguageCondition.

A condition type that allows alert policies to be defined using Monitoring Query Language.

Inherits

• Object

Extended By

• Google::Protobuf::MessageExts::ClassMethods

Includes

• Google::Protobuf::MessageExts

Methods

#duration

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

Returns

• (::Google::Protobuf::Duration) — The amount of time that a time series must violate the threshold to be considered failing. Currently, only values that are a multiple of a minute--e.g., 0, 60, 120, or 300 seconds--are supported. If an invalid value is given, an error will be returned. When choosing a duration, it is useful to keep in mind the frequency of the underlying time series data (which may also be affected by any alignments specified in the aggregations field); a good duration is long enough so that a single outlier does not generate spurious alerts, but short enough that unhealthy states are detected and alerted on quickly.

#duration=

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

Parameter

• value (::Google::Protobuf::Duration) — The amount of time that a time series must violate the threshold to be considered failing. Currently, only values that are a multiple of a minute--e.g., 0, 60, 120, or 300 seconds--are supported. If an invalid value is given, an error will be returned. When choosing a duration, it is useful to keep in mind the frequency of the underlying time series data (which may also be affected by any alignments specified in the aggregations field); a good duration is long enough so that a single outlier does not generate spurious alerts, but short enough that unhealthy states are detected and alerted on quickly.

Returns

• (::Google::Protobuf::Duration) — The amount of time that a time series must violate the threshold to be considered failing. Currently, only values that are a multiple of a minute--e.g., 0, 60, 120, or 300 seconds--are supported. If an invalid value is given, an error will be returned. When choosing a duration, it is useful to keep in mind the frequency of the underlying time series data (which may also be affected by any alignments specified in the aggregations field); a good duration is long enough so that a single outlier does not generate spurious alerts, but short enough that unhealthy states are detected and alerted on quickly.

#query

def query() -> ::String

Returns

• (::String) — Monitoring Query Language query that outputs a boolean stream.

#query=

def query=(value) -> ::String

Parameter

• value (::String) — Monitoring Query Language query that outputs a boolean stream.

Returns

• (::String) — Monitoring Query Language query that outputs a boolean stream.

#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, or by the ratio, if denominator_filter and denominator_aggregations are specified.

#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, or by the ratio, if denominator_filter and denominator_aggregations are specified.

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, or by the ratio, if denominator_filter and denominator_aggregations are specified.