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Recently I gave two-part series of talks on the Prometheus monitoring system. ... Counter increases but its rate() don't.

But fortunately Prometheus functions are clearly identified as "gauge functions" and "counter functions" (e.g. delta vs rate ).

Sep 01, 2020 · so basically prometheus understands that the actual range in each bucket is one scrape less, i.e. 45 seconds instead of 60 in our case, so when it sees metric changed by 1 in a bucket, it’s actually “by 1 in 45 seconds”, not “by 1 in 60 seconds”, so it extrapolates the result as 1 / 45 * 60 = 1.33and this is how we end up with increase()values …

increase() is even worse, because e.g. if each range contains 3 data points, it will compute a rate based on the 2 intervals it has, then multiplies it by 3, so you end up with 1.5 times the estimated rate instead of the actual increase. As long as your rate/interval range is a multiple of the underlying timeseries' resolution, you will get ...

01.02.2019 · rate (counter [1s]): will match ICH because average will be calculated from one value only. rate (counter [2s]): will get the average from the increment in 2 sec and distribute it among the seconds. So in the first 2 second we got an increment of total 3 which means the average is 1.5/sec. final result: second result 1 1,5 2 1,5 3 2 4 2 5 3,5 6 ...

Jul 19, 2021 · Prometheus makes available great functions for data aggregation by timeline. Among these functions, I focused my analysis on irate() and rate() which give us similar outcomes but they work in different way. Let's see, by making an example, what happens under the hood to understand how it works. Prometheus is a very powerfull data collector…

While rate() returns per second values, increase() is a convenience function which returns the total across the time period. So for example ...

Prometheus makes available great functions for data aggregation by ... instant rate of increase of the time series in the range vector.

Quelle est la différence entre rate et increase ?Comment calculer un taux pour un counter en promql ?Rate : calcul de l'évolution d'une métrique à la seconde...

increase should only be used with counters. It is syntactic sugar for rate(v) multiplied by the number of seconds under the specified time ...

Introduction

Quelle est la différence entre rate et increase ?Comment calculer un taux pour un counter en promql ?Rate : calcul de l'évolution d'une métrique à la seconde...

In this article, we will look at the Prometheus counter metric and explain how to use rate, increase, irate, and resets to get valuable ...

So if you have a bunch of samples that are (more or less) 1 second apart and you use Prometheus' rate(counter[1s]) , you'll get no output.

increase(http_requests_total{job="api-server"}[5m]) increase should only be used with counters. It is syntactic sugar for rate(v) multiplied by the number of seconds under the specified time range window, and should be used primarily for human readability. Use rate in recording rules so that increases are tracked consistently on a per-second basis.

Counters are a Prometheus metric type whose value only goes up, ... rate() : This calculates the rate of increase per second, averaged over ...

As the name suggests, it lets you calculate the per-second average rate of how a value is increasing over a period of time. It is the function ...

increase(counter[5s]) will return (v5 - v1) / (t5 - t1) * 5, so the rate of increase over ~4 seconds, extrapolated to 5 seconds. Due to the samples not being exactly spaced, both rate and increase will often return floating point values for integer counters (which makes obvious sense for rate, but not so much for increase).

19.07.2021 · Prometheus makes available great functions for data aggregation by timeline. Among these functions, I focused my analysis on irate() and rate() which give us similar outcomes but they work in different way. Let's see, by making an example, what happens under the hood to understand how it works. Prometheus is a very powerfull data collector…