Thank you for your help. 
I was almost certain that this would be the case, but I wanted to make 
sure. I will check out the ideas you mentioned.

Stuart Clark a következőt írta (2023. április 18., kedd, 20:34:43 UTC+2):

> That's definitely something that can be done _using_ Prometheus, but not 
> something done _within_ it.
>
> You'd have an application which uses the query API (or is sent live data 
> via remote write) to fetch metrics and then does whatever calculations are 
> needed (for example using machine learning methods). You might then expose 
> back new metrics to represent the outcome of those calculations (via 
> scraping, remote read or remote write) which can then be used for 
> visualisation and alerting.
>
> Broadly what you are talking about is anomaly detection, which have a lot 
> of ideas, PoCs, tools and blog articles created - you will find various 
> ideas and ways to achieve such things from talks given at PromCon over the 
> past years for example. 
>
>
> On 17 April 2023 07:51:21 BST, "Jónás Jurásek" <[email protected]> 
> wrote:
>
>> I want to create alerts based on if a periodic signal(not perfectly 
>> periodic) has changed significantly from its previous behaviour. For 
>> example: A size of a table in a db is growing a certain amount every hour, 
>> but then every day it goes back to the size it was a day before. I want to 
>> alert if this table grew twice as much, or hasn't grown at all, or if if 
>> doesn't go back to it's original size. But rather than me giving the 1 day 
>> periodicity, I want prometheus to detect it, because different tables can 
>> have different periods. 
>> Is there any way to do that with prometheus? Or is the any other way to 
>> detect the change of the behaviour?
>>
>> -- 
> Sent from my Android device with K-9 Mail. Please excuse my brevity.
>

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