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To make scheduling decisions we need two things: absolute value of some metric and a trend.
Currently, we fetch all the datapoints and compute math on top. But it's better to aggregate values in cantal itself. We already have aggregation function facility. We just need a few functions:
Gradient value over N data points fit using least squares
Moving average over N data points
Maximum value over N data points (probably applied after moving average)
The text was updated successfully, but these errors were encountered:
To make scheduling decisions we need two things: absolute value of some metric and a trend.
Currently, we fetch all the datapoints and compute math on top. But it's better to aggregate values in cantal itself. We already have aggregation function facility. We just need a few functions:
The text was updated successfully, but these errors were encountered: