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Hands-On Infrastructure Monitoring with Prometheus
book

Hands-On Infrastructure Monitoring with Prometheus

by Joel Bastos, Pedro Araújo
May 2019
Intermediate to advanced
442 pages
11h 36m
English
Packt Publishing
Content preview from Hands-On Infrastructure Monitoring with Prometheus

predict_linear()

This function receives a range vector and a scalar time value as arguments. It extrapolates the value of each matched time series from the query evaluation time to the specified number of seconds in the future, given the trend in the data from the range vector. It uses linear regression to achieve such a prediction, which means there is no complex algorithmic forecasting happening in the background. It should only be used with gauges.

We'll apply the following expression, which employs predict_linear using a range of one hour of data, and extrapolate the sample value four hours in the future (60 (seconds) * 60 (minutes) * 4):

predict_linear(node_filesystem_free_bytes{mountpoint="/data"}[1h], 60 * 60 * 4)
{device="/dev/sda1", ...
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Publisher Resources

ISBN: 9781789612349