Beta Functions

Beta functions are available by editing the query JSON directly.

Rolling average

Function	Description	Example
`rollingavg_5()`	Compute the rolling average over a span of 5.	`rollingavg_5(system.load.1{*})`
`rollingavg_13()`	Compute the rolling average over a span of 13.	`rollingavg_13(system.load.1{*})`
`rollingavg_21()`	Compute the rolling average over a span of 21.	`rollingavg_21(system.load.1{*})`
`rollingavg_29()`	Compute the rolling average over a span of 29.	`rollingavg_29(system.load.1{*})`

Other functions

Consult the other available functions:

Arithmetic: Perform Arithmetic operation on your metric.

Algorithmic: Implement Anomaly or Outlier detection on your metric.

Count: Count non zero or non null value of your metric.

Exclusion: Exclude certain values of your metric.

Interpolation: Fill or set default values for your metric.

Rank: Select only a subset of metrics.

Rate: Calculate custom derivative over your metric.

Regression: Apply some machine learning function to your metric.

Rollup: Control the number of raw points used in your metric.

Smoothing: Smooth your metric variations.

Timeshift: Shift your metric data point along the timeline.