Functions use case catalogue
Click on the functions links for details and illustrated examples.
Arithmetic operations
- Scale -
Multiplies each data point by the provided scale factor - Offset -
Add a fixed value to all data points - SumSeries -
Sum a group of metrics
Data validation
- CountSeries -
Returns the number of metrics reported in each time point - PercentMissingValues -
Returns % missing values for each metric in the selected time range
Data interpretation
- Delta -
Useful when you need to monitor the difference between two successive samples in a counter metric (whose values increases monotonically) - NonNegativeDelta -
Similar to the Delta function above, this one is useful when you have a metric whose value increases monotonically, and occasionally resets to zero (e.g., on restart) - AsPercent -
Applying the function on a group of metrics will return the contribution of each metric data point to the total sum as a percentage.
Help fit better baselines
- expMovingAverage -
Useful for smoothing noisy metrics, which helps fit a better baseline (= better detection).
Perform operations between matched metric pairs
- ratioPairs -
Divide one group of metrics by another to monitor the ratio between matched samples.
Compare metric patterns across time
Updated over 1 year ago
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