That's interesting! 
Which metrics do you usually focus on?

Could you please provide a bit more context on how you are then using the 
jsonnet files?
When is the evaluation triggered? Each time a new microservice gets 
deployed or by manual execution? 



On Thursday, June 18, 2020 at 2:34:24 PM UTC+2, Ben Kochie wrote:
>
> We're doing something very similar. We have a metrics catalog[0] that 
> turns all of our service level metrics into uniform SLO metrics.
>
> [0]: https://gitlab.com/gitlab-com/runbooks/-/tree/master/metrics-catalog
>
> On Thu, Jun 18, 2020 at 2:25 PM Juergen Etzlstorfer <
> [email protected] <javascript:>> wrote:
>
>> Hi,
>>
>> I am a core contributor to an open-source project which makes use of 
>> Prometheus data for the evaluation of quality criteria of a microservice or 
>> an application. Basically, we automatically pull the different metrics and 
>> evaluate them against a given specification file based on service-level 
>> objectives (SLOs). We usually use SLOs based on the RED metrics such as 
>> throughput, error rate, and duration/response time. 
>> We want to provide more integrations out-of-the-box and I would be 
>> interested in which metrics would you usually like to check to determine 
>> the quality of your software?
>>
>> If you want to take a look at how we are doing it, we just recently 
>> recorded a webinar demonstrating this use case. 
>> https://www.youtube.com/watch?v=hx0NHj4u7ic 
>>
>> The project itself can be found here if you are interested: 
>> https://keptn.sh 
>>
>> Looking forward to hearing your thoughts on this! 
>>
>>
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