Open Stack

This is interesting, thanks for sharing.  I assume your using an
influxdb storage driver correct?  I have also wondered if there was a
specific reason for the TASKS_PER_WORKER and BLOCK_SIZE values.

Also did you have to adjust your metric_processing_delay?


Alex Krzos | Performance Engineering
Red Hat
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Mobile: 919-909-6266


On Tue, Mar 28, 2017 at 3:28 PM, Ionut Biru - Fleio <ionut at fleio.com> wrote:
> Hello,
>
>
> I do have a cloud under administration, my setup is fairly basic, I have
> deployed openstack using Openstack Ansible, currently I'm a Newton and
> planning to upgrade on Ocata.
>
>
> I'm having a problem with gnocchi metricd falling behind on processing
> metrics.
>
>
> Gnocchi config: https://paste.xinu.at/f73A/
>
>
> In I'm using default workers number(cpu count) the number of "storage/total
> number of measures to process" keeps growing, last time I had 300k in queue.
> In seems that the tasks are not rescheduled in order to process them all in
> time and it processing couples of metrics after they are received from
> ceilometer and after that they are kept in queue and I only have 10 compute
> nodes with about 70 instances.
>
>
> In order to process I had to set up workers to a very high number (100) and
> keep restarting metricd in order for them to be processed but this method is
> very cpu and memory intensive and luckily I found another method that works
> quite well.
>
>
> https://git.openstack.org/cgit/openstack/gnocchi/tree/gnocchi/cli.py?h=stable/3.1#n154
>
>
> I have modified TASKS_PER_WORKER and BLOCK_SIZE to 400 and now metricd keeps
> processing them.
>
>
> I'm not sure yet if is a bug or not but my question is, how do you guys
> scale gnocchi metricd in order to process a lot of resources and metrics?
>
>
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