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.
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.
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.
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.
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.
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.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-01-21 UTC."],[],[]]
