[aodh] [heat] Stein: How to create alarms based on rate metrics like CPU utilization?
You can also collect `cpu.utilization_perc` metric with Monasca and
trigger Heat auto-scaling as we demonstrated in the hands-on workshop at
the last Summit in Denver.
Here the Heat template we've used .
You can find the workshop material here .
On 8/14/19 6:34 PM, Duc Truong wrote:
> I don't know how to solve this problem in aodh, but it is possible to
> use Prometheus to aggregate CPU utilization and trigger scaling. I
> wrote up how to do this with Senlin and Prometheus here:
> You can probably do something similar with Heat and Prometheus.
> On Sun, Aug 4, 2019 at 12:52 AM Bernd Bausch <berndbausch at gmail.com> wrote:
>> Prior to Stein, Ceilometer issued a metric named cpu_util, which I could use to trigger alarms and autoscaling when CPU utilization was too high.
>> cpu_util doesn't exist anymore. Instead, we are asked to use Gnocchi's rate feature. However, when using rates, alarms on a group of resources require more parameters than just one metric: Both an aggregation and a reaggregation method are needed.
>> For example, a group of instances that implement "myapp":
>> gnocchi measures aggregation -m cpu --reaggregation mean --aggregation rate:mean --query server_group=myapp --resource-type instance
>> Actually, this command uses a deprecated API (but from what I can see, Aodh still uses it). The new way is like this:
>> gnocchi aggregates --resource-type instance '(aggregate rate:mean (metric cpu mean))' server_group=myapp
>> If rate:mean is in the archive policy, it also works the other way around:
>> gnocchi aggregates --resource-type instance '(aggregate mean (metric cpu rate:mean))' server_group=myapp
>> Without reaggregation, I get quite unexpected numbers, including negative CPU rates. If you want to understand why, see this discussion with one of the Gnocchi maintainers .
>> My problem: Aodh allows me to set an aggregation method, but not a reaggregation method. How can I create alarms based on rates? The problem extends to Heat and autoscaling.
>> Thanks much,
>>  https://github.com/gnocchixyz/gnocchi/issues/1044