Arithmetic

Absolute

Function	Description	Example
`abs()`	Graph the absolute value of the metric.	`abs(<METRIC_NAME>{*})`

Transforms this sine timeseries sin{*}:

into this one abs(sin{*}):

Logarithm

log2

Function	Description	Example
`log2()`	Graph the Base-2 logarithm of the metric.	`log2(<METRIC_NAME>{*})`

Example:

If we have a metric x{*} that just increments itself by 1 for each data point, then log2(x{*}) has the following shape:

log10

Function	Description	Example
`log10()`	Graph the Base-10 logarithm of the metric.	`log10(<METRIC_NAME>{*})`

Example:

If we have a metric x{*} that just increments itself by 1 for each data point, then log10(x{*}) has the following shape:

Cumulative Sum

Function	Description	Example
`cumsum()`	Graph the cumulative sum of the metric over the visible time window.	`cumsum(<METRIC_NAME>{*})`

Example:

If we have a metric const_1{*} that is a constant with the value of 1, then cumsum(const_1{*}) has the following shape:

Integral

Function	Description	Example
`integral()`	Graph the integral of the metric.	`integral(<METRIC_NAME>{*})`

Note: Datadog’s integral() is the cumulative sum of [time delta] x [value delta] over all consecutive pairs of points in the visible time window for a given metric.

Other functions

Consult the other available functions:

Algorithmic: Implement Anomaly or Outlier detection on your metric.

Count: Count non zero or non null value 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.