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25.11.2020 · The sum function will sum the values of the different rates; and sum(rate(requests[3 sec])) will give you only one value: {} 42.13 <-- the sum of all rate(requests[3s]) values BONUS: In the case you metric have multiple dimensions (represented by multiple labels in your metric) you can tell sum() to operate on a subset of them: sum(rate(requests[3 sec])) ON(foo)

rate(container_cpu_usage_seconds_total{namespace= “redash”[5m]). This is where aggregation comes in. We can wrap the above query in a sum ...

rate(http_requests_total{job="api-server"}[5m]) rate should only be used with counters. It is best suited for alerting, and for graphing of slow-moving counters. Note that when combining rate() with an aggregation operator (e.g. sum()) or a function aggregating over time (any function ending in _over_time), always take a rate() first, then aggregate.

To be exact, Prometheus only stores floating-point values with double precision. The rate function takes metric and time information enclosed in [braces] as a ...

condition where rates turn to be all zero for counters that change their value on a whole minute boundary. But don't take my word on it — let's ...

09.05.2016 · The individual rates would be: rate(http_requests_total{job="node"}[5m]) Now to aggregate those, you'd do: sum by (job)(rate(http_requests_total{job="node"}[5m])) # This is okay. Seems simple, right? How not to do it. A common mistake is to try to take the sum and then the rate: rate(sum by (job)(http_requests_total{job="node"})[5m]) # Don't do this

Assuming that the http_requests_total time series all have the labels job (fanout by job name) and instance (fanout by instance of the job), we might want to sum over the rate of all instances, so we get fewer output time series, but still preserve the job dimension: sum by (job) ( rate (http_requests_total [5m]) )

07.07.2019 · prometheus常用函数 1、rate函数 rate() 函数则表示某段时间内数据的平均值 rate() 函数是专门搭配counter数据类型使用函数 功能是取counter在这个时间段中平均每秒的增量数 例如： 1） (用于监控主机上所有网卡每分钟的流量) rate(node_network_receive_bytes[1m]) 1 > 比如累积量从 440011229804456 --> 440011229805456，1分钟内增加了 1000bytes (假设) ··· 加入

I have a Prometheus counter, for which I want to get its rate on a time range (the real target is to sum the rate, and sometimes use ...

There's a common misunderstanding when dealing with Prometheus counters, ... A common mistake is to try to take the sum and then the rate:

To tell if the CPU has been busy or idle recently, use the rate function to calculate the growth rate of the counter: (sum by (cpu)(rate(node_cpu_seconds_total{mode!="idle"}[5m]))*100. The above query produces the rate of increase over the last five minutes, which lets you see how much computing power the CPU is using.

I have a Prometheus counter, for which I want to get its rate on a time range. (the real target is to sum the rate, and sometimes use histogram_quantile on ...

For Prometheus: the rate of the stable pods is constant, so 15R. The short lived pods rate is calculated over the entire range vector, so 1000R ...

07.10.2018 · Otherwise rate() cannot detect counter resets when your target restarts. If you can tolerate this (or the instances reset counters at the same time), there's a way to work around. Define a recording rule as. record: job:mycounter:sum expr: sum without(instance) (mycounter) and then this expression works: sum(rate(job:mycounter:sum[5m]))

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 ...

PromQL is a built in query-language made for Prometheus. ... sum-rate. This query tells you how many total HTTP requests there are, but isn't directly ...

19.07.2021 · irate (v range-vector) calculates the per-second instant rate of increase of the time series in the range vector. This is based on the last two data points. Breaks in monotonicity (such as counter resets due to target restarts) are automatically adjusted for. So, taking only the last two data from our serie We applied the formula

rate(v range-vector) calculates the per-second average rate of ... Note that when combining rate() with an aggregation operator (e.g. sum() ) ...