This guide describes Sumo Logic metrics operators and provides usage examples.
In this section, we'll introduce the following concepts:
Learn how to create a series of running totals for each metric time series.
Learn how to control what results are joined based on the value of one or more result fields.
Learn how to calculate the average of all matching time series.
Learn how to apply a specified aggregation function to the time series that match the query selector.
Learn how to count the total number of time series that match the query.
Learn how to compute the backward difference at each data point in the time series.
Learn how to evaluate a time series based on a user-specified arithmetic or mathematical function.
Learn how to compute an EWMA on the data points returned by the query for the selected time range.
Learn how to fill empty time slices in metric query results with a derived data point.
Learn how to limit the results returned by a metric query.
Learn how to calculate the φ-quantile from the buckets of a histogram.
Learn how to use this operator in a metrics query selector as shorthand for multiple OR conditions.
Learn how to calculate the maximum value of the time series that match the query.
Learn how to calculate the minimum value of the time series that match the query.
Learn how to identify metrics data points that are outside the range of expected values.
Learn how to parse the specified field to create new fields to use in the metrics query.
Learn how to take a single time series metric to predict future values.
Learn how to calculate the nth percentile of values of the input series for each time interval.
Learn how to use this operator to control Sumo’s quantization behavior.
Learn how to calculate the per-second rate of change between consecutive data points.
Learn how to measure the magnitude of deviations between the values in a time series.
Learn how to calculate the sum of the metrics values that match the query.
Learn how to shift the time series from your metrics query by a specified period of time.
Learn to apply a specified aggregation function to the time series that match the query selector.
Learn how to filter out entire time series, or individual data points within a time series.