Hi Mathieu!
Mathieu Othacehe skribis:
>> How about also adding metrics per build machine? I have the impression,
>> for instance, that the aarch64 machine in my living room is not used.
>> If this is confirmed, we could take appropriate action (uncomment it in
>> /etc/machines.scm :-), compare t
Hi,
Mathieu Othacehe skribis:
>> As discussed on IRC, builds per day should be compared to new
>> derivations per day. For example, if on a day there’s 100 new
>> derivations and we only manage to build 10 of them, we have a problem.
>
> I added this line, and they sadly do not overlap :(
It s
Hey Ludo,
> As discussed on IRC, builds per day should be compared to new
> derivations per day. For example, if on a day there’s 100 new
> derivations and we only manage to build 10 of them, we have a problem.
I added this line, and they sadly do not overlap :(
> 2020-09-14T21:16:21 Failed t
Hello Andreas,
> Congratulations, that looks like a very useful start already!
> (And the number of builds has doubled since yesterday, so someone already
> put it to good use!)
Thanks for your feedback :)
> How about also adding metrics per build machine? I have the impression,
> for instance
On Mon, Sep 14, 2020 at 03:34:17PM +0200, Mathieu Othacehe wrote:
> I just pushed support for computing and displaying metrics in Cuirass. I
> started with two metrics:
> * Builds per day
> * Average evaluation speed per specification.
> Those metrics can now be seen at:
> https://ci.guix.gnu.org/m
Hi all.
zimoun writes:
> Hi Mathieu,
>
> Really cool!
>
> On Mon, 14 Sep 2020 at 15:35, Mathieu Othacehe wrote:
>
>> * Builds per day
>> * Average evaluation speed per specification.
>
> Something interesting could be: min and max (of 100 evaluations).
> The standard error deviation too but I a
Hi!
Mathieu Othacehe skribis:
> I just pushed support for computing and displaying metrics in Cuirass. I
> started with two metrics:
>
> * Builds per day
> * Average evaluation speed per specification.
>
> Those metrics can now be seen at:
>
> https://ci.guix.gnu.org/metrics
>
> and are updated
Hi Mathieu,
Really cool!
On Mon, 14 Sep 2020 at 15:35, Mathieu Othacehe wrote:
> * Builds per day
> * Average evaluation speed per specification.
Something interesting could be: min and max (of 100 evaluations).
The standard error deviation too but I am not sure it is easy to
interpret with a
Hello,
I just pushed support for computing and displaying metrics in Cuirass. I
started with two metrics:
* Builds per day
* Average evaluation speed per specification.
Those metrics can now be seen at:
https://ci.guix.gnu.org/metrics
and are updated every hour.
I plan to add more metrics s
Hello,
> Agreed. We regularly push commits that are weeks or months old
> (sometimes years), so there might be too many outliers when looking at
> the commit time.
Yes, so I used checkout time instead of commit time with
af12a80599346968fb9f52edb33b48dd26852788.
I also turned Evaluation 'in_p
Hi,
Christopher Baines skribis:
> Mathieu Othacehe writes:
>
>> Hello,
>>
>>> As discussed earlier today on IRC with Clément, we could add performance
>>> monitoring capabilities to Cuirass. Interesting metrics would be:
>>>
>>> • time of push to time of evaluation completion;
>>>
>>> • ti
Mathieu Othacehe writes:
> Hello,
>
>> As discussed earlier today on IRC with Clément, we could add performance
>> monitoring capabilities to Cuirass. Interesting metrics would be:
>>
>> • time of push to time of evaluation completion;
>>
>> • time of evaluation completion to time of build
Hello,
> As discussed earlier today on IRC with Clément, we could add performance
> monitoring capabilities to Cuirass. Interesting metrics would be:
>
> • time of push to time of evaluation completion;
>
> • time of evaluation completion to time of build completion.
Small update on that o
As discussed earlier today on IRC with Clément, we could add performance
monitoring capabilities to Cuirass. Interesting metrics would be:
• time of push to time of evaluation completion;
• time of evaluation completion to time of build completion.
We could visualize that per job over time.
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