perSeriesAligner property
The approach to be used to align
individual time series. Not all
alignment functions may be applied
to all time series, depending on
the metric type and value type of
the original time series.
Alignment may change the metric
type or the value type of the time
series.Time series data must be
aligned in order to perform cross-
time series reduction. If
crossSeriesReducer is specified,
then perSeriesAligner must be
specified and not equal ALIGN_NONE
and alignmentPeriod must be
specified; otherwise, an error is
returned.
Possible values are: ALIGN_NONE, ALIGN_DELTA, ALIGN_RATE, ALIGN_INTERPOLATE, ALIGN_NEXT_OLDER, ALIGN_MIN, ALIGN_MAX, ALIGN_MEAN, ALIGN_COUNT, ALIGN_SUM, ALIGN_STDDEV, ALIGN_COUNT_TRUE, ALIGN_COUNT_FALSE, ALIGN_FRACTION_TRUE, ALIGN_PERCENTILE_99, ALIGN_PERCENTILE_95, ALIGN_PERCENTILE_50, ALIGN_PERCENTILE_05, ALIGN_PERCENT_CHANGE.
Implementation
final pulumi.Input<String?>? perSeriesAligner;