Class MetricThreshold

A condition type that compares a collection of time series against a threshold.

Attributes
NameDescription
strfilter
Required. A `filter
Sequence[google.cloud.monitoring_v3.types.Aggregation]aggregations
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
strdenominator_filter
A `filter
Sequence[google.cloud.monitoring_v3.types.Aggregation]denominator_aggregations
Specifies the alignment of data points in individual time series selected by ``denominatorFilter`` 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). When computing ratios, the ``aggregations`` and ``denominator_aggregations`` fields must use the same alignment period and produce time series that have the same periodicity and labels.
google.cloud.monitoring_v3.types.ComparisonTypecomparison
The comparison to apply between the time series (indicated by ``filter`` and ``aggregation``) and the threshold (indicated by ``threshold_value``). The comparison is applied on each time series, with the time series on the left-hand side and the threshold on the right-hand side. Only ``COMPARISON_LT`` and ``COMPARISON_GT`` are supported currently.
floatthreshold_value
A value against which to compare the time series.
google.protobuf.duration_pb2.Durationduration
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.
google.cloud.monitoring_v3.types.AlertPolicy.Condition.Triggertrigger
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.

Inheritance

builtins.object > proto.message.Message > MetricThreshold