Hi All, Any help on this plz. Thank You

Regards
Sakthi

On Fri, 7 May 2021 at 9:44 PM, Sakthi Raam <[email protected]> wrote:

> Hi Ben, Thanks for the information. This requires configuration change
> which application teams are reluctant to do so hence looking to drop them
> on Prometheus end before storing it.
>
> Thank You
> Regards
> Sakthi
>
> On Fri, 7 May 2021 at 6:25 PM, Ben Kochie <[email protected]> wrote:
>
>> If you're using micrometer, you can configure the buckets at the
>> application side.
>>
>> https://micrometer.io/docs/concepts
>>
>> On Fri, May 7, 2021 at 12:02 PM [email protected] <
>> [email protected]> wrote:
>>
>>> Hi All,
>>>
>>> Our Java applications are exposing exposing application metrics using
>>> micrometer framework and we have the http_server_requests_bucket getting
>>> created based on the response time of the requests. Since the number of
>>> microservices are in 1000's we are already having more than 1 million
>>> time-series. We analysed and found the above time series metrics is having
>>> more than 500k+  time-series. So we want to keep only the time series which
>>> has below bucket values and drop the rest. If we try doing the below all
>>> the other time series like (process uptime, JVM related statistics are also
>>> getting dropped).
>>>
>>> We can use drop and provide regex of other values(
>>> https://www.robustperception.io/why-are-prometheus-histograms-cumulative)
>>> but they the list to blacklist is very long so we want to whitelist the
>>> required values. Any option to include additional check to apply the below
>>> metric label only for time series with name http_server_requests_bucket or
>>> any other options available. Looking forward for some help
>>>
>>> - source_labels: [le]
>>> action: keep
>>> regex: '(\+Inf|0.1|0.25|0.5|0.75|1.0|2.5|5.0|7.5|10|1)'
>>>
>>> Regards
>>> Sakthi
>>>
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>>> .
>>>
>> --
>
> *Best regards*
>
> R.K.Sakthi Raam
>
> ***: [email protected]
>
> *'*: +65-9185-0354
>
> [image: Linkedin] <https://sg.linkedin.com/in/sakthi-raam-88035920>
>
-- 

*Best regards*

R.K.Sakthi Raam

***: [email protected]

*'*: +65-9185-0354

[image: Linkedin] <https://sg.linkedin.com/in/sakthi-raam-88035920>

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