On Thu, 13 Jan 2022 at 20:29, Matthias Rampke <matth...@prometheus.io>
wrote:
> Just to check my understanding: I think rules within one group are also
> evaluated in order, while groups (even at the same interval) can be
> evaluated concurrently.
>
> If you have multiple rules that build on top of one another (using the
> output of one rule in the next) put them in one group, with the most basic
> rule first and those that rely on it later. This ensures that each rule
> sees current and complete data from those before it.
>
> On the other hand, if you have several rules that take a while to
> evaluate, and independent, put them in separate groups. This allows
> Prometheus to take advantage of multiple CPUs and I/O parallelism to make
> sure that each group finishes evaluation within its interval.
>
> Do I remember this correctly?
>
Yes, that's correct.
Brian
>
> /MR
>
> On Tue, Jan 11, 2022, 12:00 Brian Candler <b.cand...@pobox.com> wrote:
>
>> Not much. The main thing is that all rules within a rule group have the
>> same evaluation interval; so if you want to have a rule evaluated at a
>> different interval, it must be in a different group.
>>
>> On Tuesday, 11 January 2022 at 04:22:10 UTC rashmira...@gmail.com wrote:
>>
>>> Hi,
>>>
>>> can someone please help me understand with what is the difference
>>> between using two different groups in rule.yml and using one group with
>>> list of two rules?
>>> in which situation groups should be preferred and a list of rules in one
>>> group?
>>> please find below for reference.
>>>
>>> groups:
>>> - name: Spring-boot
>>> rules:
>>> - alert: response_time_mtr
>>> expr: histogram_quantile(.99,
>>> sum(rate(http_server_requests_seconds_bucket{uri="<uri>",status="200",appName="app"}[5m]))
>>> by (le,appName)) > 2
>>> labels:
>>> app_name: app
>>> group: Spring-boot
>>> annotations:
>>> summary: '(instance {{ $labels.instance }})'
>>> - name: grp_2
>>> rules:
>>> - alert: up_mtr
>>> expr: up{job="springapp"} == 0
>>> labels:
>>> app_name: app
>>> group: grp_2
>>> annotations:
>>> summary: "app down alert"
>>>
>>> ------------------------------------
>>> groups:
>>> - name: Spring-boot
>>> rules:
>>> - alert: response_time_mtr
>>> expr: histogram_quantile(.99,
>>> sum(rate(http_server_requests_seconds_bucket{uri="<uri>",status="200",appName="app"}[5m]))
>>> by (le,appName)) > bool 2
>>> labels:
>>> app_name: app
>>> annotations:
>>> summary: '(instance {{ $labels.instance }})'
>>> - alert: up_mtr
>>> expr: up{job="springapp"} == 0
>>> labels:
>>> app_name: app
>>> annotations:
>>> summary: "app down alert"
>>> Thanks
>>>
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--
Brian Brazil
www.robustperception.io
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