changes(node_boot_time_seconds{job="kubernetes-service-endpoints"} [1h])

Above query giving wrong alert on reboot, can you provide me the better 
query

On Friday, April 22, 2022 at 12:26:59 AM UTC+5:30 Brian Candler wrote:

> On Thursday, 21 April 2022 at 19:40:07 UTC+1 [email protected] wrote:
>
>> Thanks a lot for your valuable inputs and suggestions. 
>> *query1:*
>> I had created with python with  Prometheus-client library,  I want to 
>> execute this lib as Pod so need to create docker 
>> image(python,prometheus-client ).
>> here size of the image is going up to 130+mb and also CPU core 
>> utilization is more. Only for few 4 to 6 custom metrics its consuming 
>> approximate 1 core.
>>
>> Do you have any idea to minimize the CPU utilization
>>
>
> In principle it should use zero cores while it's idle.  Normally an 
> exporter only does work when it's being scraped (i.e. handling an incoming 
> http request).  If that's not the case, then it's doing whatever you told 
> it to do.  Maybe you have an infinite loop or something in your code?
>
> If you copied their sample code:
>
> if __name__ == '__main__':
>     # Start up the server to expose the metrics.
>     start_http_server(8000)
>     # Generate some requests.
> *    while True:*
> *        process_request(random.random())*
>
> then clearly you'll be using a whole CPU core as this loop spins as fast 
> as it can.  This is not meant to be how a real exporter works.  Rather, 
> when your application does some other work (e.g. processing an incoming 
> HTTP request) it can also increment counters or whatever.
>
>  
>
>> *query2:*
>> When I am using this lib , I can still see some unwanted metrics are 
>> populating other than mu custom metrics. Do you have any idea like jow I 
>> can remove it from my metrics list?
>>
>>
> Can you show the metrics?
>

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