cluster-api-provider-openstack
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kubernetes-sigs
Document guidelines around CAPI + CAPO cluster scalability
/kind documentation
This is not a code issue specifically but we were wondering if there exists any data or guidelines around CAPO cluster scalability. Thinking more specifically around;
Number of workload clusters Number of active nodes (would this be provider specific?) Number of healthchecks other important params?
If ball park numbers don't exist today, do we know what parameters are important to track for CAPI cluster scalability and what behaviours we might expect to see as we start to stretch the capabilities?
And finally are there any guideline for scaling a CAPI cluster in terms of which resources can be scaled up/out?
Note that this issue is directly related to https://github.com/kubernetes-sigs/cluster-api/issues/7308 raised in the CAPI project however for our needs we are specifically interested in CAPI + CAPO.
This is not a code issue specifically but we were wondering if there exists any data or guidelines around CAPO cluster scalability. Thinking more specifically around;
this seems to be a user/operator with developer question, as dev perspective this might be a tough question due to no opreation and no hardware resource .. not sure @seanschneeweiss whether you have any insight?
I remember I watched this https://www.youtube.com/watch?v=KzYV-fJ_wH0 and very good sharing @seanschneeweiss :)
We reached > 350 clusters with > 1990 machines in one of our OpenStack regions. This is a number where we have to start analyzing as our provisioning takes longer than usual with unknown waiting times in between two controllers. I'll provide some information as soon as we have narrowed down the problem we are currently facing. However, CAPO doesn't seem to be the bottleneck and I think that the OpenStack API might get a problem soon but not the controller itself. Currently we are using the following concurrency values
- --openstackcluster-concurrency=10
- --openstackmachine-concurrency=20
Memory limit/request is at 500Mi but actual usage at 140Mi. It can spike on pod restart. CPU request is at 500Mi but actual usage at 160Mi. Of course during updates (new machines) this can increase.
Sean Schneeweiss [email protected], Mercedes-Benz Tech Innovation GmbH, Provider Information
We reached > 350 clusters with > 1990 machines in one of our OpenStack regions. This is a number where we have to start analyzing as our provisioning takes longer than usual with unknown waiting times in between two controllers. I'll provide some information as soon as we have narrowed down the problem we are currently facing. However, CAPO doesn't seem to be the bottleneck and I think that the OpenStack API might get a problem soon but not the controller itself. Currently we are using the following concurrency values
those are some really cool numbers. would love to totally chat about how openstack is slowing down and profiling that part!
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@mnaser
those are some really cool numbers. would love to totally chat about how openstack is slowing down and profiling that part!
It is not OpenStack that seems to be slowing down. It is probably related to slowness of the operators - not sure yet.
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don't know what's gonna be done in this issue, let's keep open and if no activity later on ,let's close this
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