On Fri, 28 Aug 2020 at 11:45, Mounya A <[email protected]> wrote:

>     Thanks for the reply Brian. As far as I know, most of the
> disadvantages are caused by lot of process churn, ours are 3-5 long lived
> processes and  we need only simple metrics like Counter and Summary. Still
> ,will we be affected by those disadvantages?
>

Yes, the disadvantages are due to the implementation. If you've known long
running processes, it'd be better to scrape them directly.


> Are there any limitations other than those mentioned in the
> documentation??Thanks in advance.
>

The list should be complete.

 Brian


>
> On Friday, August 28, 2020 at 12:14:30 PM UTC+5:30
> [email protected] wrote:
>
>> On Fri, 28 Aug 2020 at 07:39, Mounya A <[email protected]> wrote:
>>
>>> Hii everyone,
>>>          We have multiple independent deamons of same application in a
>>> machine. I would like to serve aggregated metrics from a single port ,
>>> rather than starting server in each deamon and treating them as a separate
>>> time series. I can handle the exposition part with try.. except so that the
>>> first deamon that gets hold of the port  can start the server. My doubt is
>>> regarding the correctness of metrics data if i use the python client's
>>> multiprocessing support. (as it is not a direct use of gunicorn or
>>> multiprocessing module) . Is there any chance of ending up with incorrect
>>> data if i use this approach . Thanks in advance.
>>
>>
>> If they're independent daemons then each should have their own /metrics.
>> The multiprocessing mode comes with a number of disadvantages, and should
>> only be used if you've no other option.
>>
>>
>
>
>> --
>> Brian Brazil
>> www.robustperception.io
>>
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-- 
Brian Brazil
www.robustperception.io

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