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docs: mention lambdas and cloud functions for aggregation (#4705)

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* docs: mention lambdas and cloud functions for aggregation

Signed-off-by: hagen1778 <roman@victoriametrics.com>
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Roman Khavronenko 2023-07-24 16:11:15 +02:00 committed by Aliaksandr Valialkin
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docs/stream-aggregation.md
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@ -418,11 +418,13 @@ For example:
<img alt="total aggregation counter reset" src="stream-aggregation-check-total-reset.png">
The same behavior will occur when creating or deleting new series in an aggregation group -
`total` will increase monotonically considering the values of the series set.
`total` will increase monotonically considering the values of the series set.
An example of changing a set of series can be restarting a pod in the Kubernetes.
This changes a label with pod's name in the series, but `total` account for such a scenario and do not reset the state of aggregated metric.
Aggregating irregular and sporadic metrics (received from [Lambdas](https://aws.amazon.com/lambda/)
or [Cloud Functions](https://cloud.google.com/functions)) can be controlled via [staleness_inteval](#stream-aggregation-config).
### increase
`increase` returns the increase of input [counters](https://docs.victoriametrics.com/keyConcepts.html#counter).
@ -434,6 +436,9 @@ For example, see below time series produced by config with aggregation interval
<img alt="increase aggregation" src="stream-aggregation-check-increase.png">
Aggregating irregular and sporadic metrics (received from [Lambdas](https://aws.amazon.com/lambda/)
or [Cloud Functions](https://cloud.google.com/functions)) can be controlled via [staleness_inteval](#stream-aggregation-config).
### count_series
`count_series` counts the number of unique [time series](https://docs.victoriametrics.com/keyConcepts.html#time-series).
@ -523,6 +528,9 @@ See how to aggregate regular histograms [here](#aggregating-histograms).
The results of `histogram_bucket` with aggregation interval of `1m` is equal to the `histogram_over_time(some_histogram_bucket[1m])` query.
Aggregating irregular and sporadic metrics (received from [Lambdas](https://aws.amazon.com/lambda/)
or [Cloud Functions](https://cloud.google.com/functions)) can be controlled via [staleness_inteval](#stream-aggregation-config).
### quantiles
`quantiles(phi1, ..., phiN)` returns [percentiles](https://en.wikipedia.org/wiki/Percentile) for the given `phi*`