Some functions have default arguments, e.g.This is useful for alerting on when no time series exist for a given metric name Yeah I know there are additional features which exist in MetricsQL.Min interval time definition : A lower limit for the auto group by time interval. 腾讯云 版权所有,https://blog.csdn.net/palet/article/details/82763695. Prometheus takes the third approach. irate和rate都会用于计算某个指标在一定时间间隔内的变化速率。但是它们的计算方法有所不同：irate取的是在指定时间范围内的最近两个数据点来算速率，而rate会取指定时间范围内所有数据点，算出一组速率，然后取平均值作为结果。 所以官网文档说：irate适合快速变化的计数器（counter），而rate适合缓慢变化的计数器（counter）。 根据以上算法我们也可以理解，对于快速变化的计数器，如果使用rate，因为使用了平均值，很容易把峰值削平。除非我们把时间间 … Comment calculer un taux pour un counter en promql ? sum()) or a function aggregating over time (any function ending in _over_time), always take a irate() first, then aggregate. Do I understand Prometheus's rate vs increase functions correctly? The differences in the graphs come from the fact it is two separate instances running similar workloads rather than the same data in both data stores.In this case, as you can see, Prometheus shows no data while VictoriaMetrics provides data even if the attempted resolution is 1sec and data is available with only 5 seconds resolution.We’re very early in the process evaluating VictoriaMetrics but I’m super thrilled it solves this very annoying problem we have with Prometheus query handling. over the last 5 minutes, per time series in the range vector:The following example expression returns the per-second rate of HTTP requests 0. Peter has a Master's Degree in Computer Science and is an expert in database kernels, computer hardware, and application scaling.Actually you could have written in MetricsQL: rate(mysql_global_status_questions{service_name=~”$service_name”}),No need to say that we prefer the Victoria metrics behavior ,Thanks for the comment. Pretty much all of Prometheus' functions can be reproduced with simple recorded rules, but (let me break another one) the whole point is to do it efficiently. Use rate for alerts and slow-moving counters, rate应该只和快速的、不稳定的计数器一起使用。 as brief changes in the rate can reset the FOR clause and graphs consisting entirely of rare spikes are hard to read. Here I am using a prototype build of Percona Monitoring and Management with VictoriaMetrics. and label combination for a certain amount of time.The following example expression returns the difference in CPU temperature Otherwise irate() cannot detect counter resets when your target restarts.rate(v range-vector) calculates the per-second average rate of increase of the time series in the range vector. For a list of trademarks of The Linux Foundation, please see our,Use file-based service discovery to discover scrape targets,Monitoring Linux host metrics with the Node Exporter,Monitoring Docker container metrics using cAdvisor,Understanding and using the multi-target exporter pattern.
Use rate for alerts and slow-moving counters, as brief changes in the rate can reset the FOR clause and graphs consisting entirely of rare spikes are hard to read.Note that when combining irate() with an aggregation operator (e.g. But,The following graphs are captured for the same query —.As you can see, these graphs look completely different and they definitely don’t catch spikes.If you still want capturing spikes on volatile counters, then set up,All the lines from the previous graph are present here for comparison. As for the rate vs irate, prefer rate, since irate doesn’t capture spikes. Time Limit: 2 Seconds Memory Limit: 65536 KB By Peter Zaitsev Monitoring, MySQL ... One “solution” Prometheus provides to this problem is irate() function which gives you the “instant rate” based on the last two data points in time series. Or irate() or rate(). Better Prometheus rate() Function with VictoriaMetrics. The Pirate Bay Proxy is fast and free Look at the following picture for hypothetical,These rates are much larger than the captured rate at,It is expected to capture spikes for volatile, fast-moving counters. sum()) or a function aggregating over time (any function ending in _over_time), always take a rate() first, then aggregate. over time and return an instant vector with per-series aggregation results:Note that all values in the specified interval have the same weight in the
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