Nope... That did not work as expected. :( Last 3 hours I had 4 restarts; 
doing that ( $_interval ) displayed a whole bunch of non-sense. :/ Like, 
3.4 or 1.1...
Especially when using something like selecting a range in the graph. I 
think the metric is correct, as in I can verify that there was a server 
restart failure at the time when the metric says 1.... 
But it's flimsy, because it's coming from multiple instances. I tried doing 
without (instance) but that isn't working with sum_over_time.

On Thursday, August 20, 2020 at 5:08:41 PM UTC+2 [email protected] wrote:

> Usually what I recommend is [$__interval] and setting the "min step" to 
> 1h. This will make sure that the sum_over_time() works how you would 
> expect, each point in the chart matches the width of the step..
>
> On Thu, Aug 20, 2020 at 4:03 PM Gergely Brautigam <[email protected]> 
> wrote:
>
>>
>>
>> On Thursday, August 20, 2020 at 3:56:11 PM UTC+2 [email protected] wrote:
>>
>>> Try sum_over_time(metric[4d])
>>>
>>
>> Hi!
>>
>> Yep, tried that. Something like this:
>>
>> sum(sum(sum_over_time(server_restarts{result="failed"}[1h])) without 
>> (instance))
>>
>> But unfortunately this doesn't give an accurate number at all. If I 
>> select last 7 days in Grafana, but the time range here is 1h this messes up 
>> badly. And to be honest, I don't fully understand the correlation between 
>> time range in promql and the grafana time range. I do understand that time 
>> range `[1h]` is like a sample rate. So I could try and change this to 7d 
>> but that messes up things even more. :D
>>  
>> What I can understand to use would to have a variable which you ALSO need 
>> to adjust while selecting the time frame in Grafana. I guess that could 
>> work.
>>
>>
>>>
>>> https://prometheus.io/docs/prometheus/latest/querying/functions/#aggregation_over_time
>>>
>>> If you are getting separate values per instance or pod, then sum() over 
>>> all the timeseries.
>>>
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