Enable descheduler by default in management cluster with rules for pods violating affinity/antiaffinity
What does this MR do and why?
This MR configures the descheduler by adding safe plugins that evict misplaced pods, such as:
- RemovePodsViolatingInterPodAntiAffinity
- RemovePodsViolatingNodeAffinity in order to allow us to use softAntiAffinity in various places which is putting less constraints during node rolling upgrades without the drawback of having collocated pods as they'll be re-scheduled.
Related reference(s)
Closes #3894 (closed)
Test coverage
The RemovePodsViolatingNodeAffinity was tested on my CAPO environment and everything worked fine. I added a label (disktype=ssd) to one of my nodes (teodora-cluster-cp-137a48c076-8drsk) and I created a deployment with 1 replica that contained this NodeAffinity:
affinity:
nodeAffinity:
requiredDuringSchedulingIgnoredDuringExecution:
nodeSelectorTerms:
- matchExpressions:
- key: disktype
operator: In
values:
- ssd
k get po -n sylva-system affinity-test-76fc97768d-6qsph -o wide
NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES
affinity-test-76fc97768d-6qsph 1/1 Running 0 16s 100.72.79.92 teodora-cluster-cp-137a48c076-8drsk <none> <none>
Once I created the deployment, it was scheduled on the labeled node. In order to test the plugin, I labeled another node (teodora-cluster-cp-137a48c076-7nr78) and deleted it from the one that the pod was placed on (teodora-cluster-cp-137a48c076-8drsk). Right after, I created a job similar to the descheduler, and the pod was evicted.
kubectl logs job/descheduler-test2 -n kube-system | grep -i evict
I0512 12:54:30.413885 1 descheduler.go:235] Resetting pod evictor counters
I0512 12:54:30.415068 1 profile.go:387] "Total number of evictions/requests" extension point="Deschedule" evictedPods=0 evictionRequests=0
I0512 12:54:30.417343 1 node_affinity.go:143] "Evicting pod" plugin="RemovePodsViolatingNodeAffinity" pod="sylva-system/affinity-test-76fc97768d-6qsph"
I0512 12:54:30.442937 1 evictions.go:558] "Evicted pod" pod="sylva-system/affinity-test-76fc97768d-6qsph" reason="" strategy="RemovePodsViolatingNodeAffinity" node="teodora-cluster-cp-137a48c076-8drsk" profile="sylva"
I0512 12:54:30.443357 1 profile.go:387] "Total number of evictions/requests" extension point="Deschedule" evictedPods=1 evictionRequests=0
I0512 12:54:30.443984 1 profile.go:417] "Total number of evictions/requests" extension point="Balance" evictedPods=0 evictionRequests=0
I0512 12:54:30.444522 1 profile.go:417] "Total number of evictions/requests" extension point="Balance" evictedPods=0 evictionRequests=0
I0512 12:54:30.444532 1 descheduler.go:252] "Number of evictions/requests" totalEvicted=1 evictionRequests=0
k get po -n sylva-system affinity-test-76fc97768d-4jf84 -o wide
NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES
affinity-test-76fc97768d-4jf84 1/1 Running 0 27m 100.72.13.78 teodora-cluster-cp-137a48c076-7nr78 <none> <none>Regarding RemovePodsViolatingInterPodAntiAffinity, I tried to test it by creating different pods & deployments containing anti-affinity rules.
When it comes to pods, it is impossible to edit the affinity rules once they are already running.
I also tested it using deployments with multiple replicas, but theRemoveDuplicates plugin was triggered instead of RemovePodsViolatingInterPodAntiAffinity.
CI configuration
Below you can choose test deployment variants to run in this MR's CI.
Click to open to CI configuration
Legend:
| Icon | Meaning | Available values |
|---|---|---|
| Infra Provider | capd, capo, capm3 |
|
| Bootstrap Provider | kubeadm (alias kadm), rke2, okd, ck8s |
|
| Node OS | ubuntu, suse, na, leapmicro |
|
| Deployment Options | Deployment option list and description | |
| Pipeline Scenarios | Available scenario list and description | |
| Enabled units | Any available units name, by default apply to management and workload cluster. Can be prefixed by mgmt: or wkld: to be applied only to a specific cluster type |
|
| Disabled units | Any available units name, by default apply to management and workload cluster. Can be prefixed by mgmt: or wkld: to be applied only to a specific cluster type |
|
| Target platform | Can be used to select specific deployment environment Available platform list and description | |
| Pipeline control | autorun, manual or blocking. Can be used to override global config and start a deployment pipeline the required way |
-
🎬 preview☁️ capd🚀 kadm🐧 ubuntu -
🎬 preview☁️ capo🚀 rke2🐧 suse -
🎬 preview☁️ capm3🚀 rke2🐧 ubuntu -
☁️ capd🚀 kadm🛠️ light-deploy🐧 ubuntu -
☁️ capd🚀 rke2🛠️ light-deploy🐧 suse -
☁️ capo🚀 rke2🐧 suse -
☁️ capo🚀 rke2🐧 leapmicro -
☁️ capo🚀 kadm🐧 ubuntu -
☁️ capo🚀 kadm🐧 ubuntu🟢 neuvector,mgmt:harbor -
☁️ capo🚀 rke2🎬 rolling-update🛠️ ha🐧 ubuntu -
☁️ capo🚀 kadm🎬 wkld-k8s-upgrade🐧 ubuntu -
☁️ capo🚀 rke2🎬 rolling-update-no-wkld🛠️ ha🐧 suse -
☁️ capo🚀 rke2🎬 sylva-upgrade🛠️ ha🐧 ubuntu -
☁️ capo🚀 rke2🎬 sylva-upgrade-from-1.6.x🛠️ ha,misc🐧 ubuntu -
☁️ capo🚀 rke2🛠️ ha,misc🐧 ubuntu -
☁️ capo🚀 rke2🛠️ misc🐧 ubuntu🟢 mgmt:harbor🔴 neuvector -
☁️ capo🚀 rke2🛠️ ha,misc,openbao🐧 suse -
☁️ capo🚀 rke2🐧 suse🎬 upgrade-from-prev-tag -
☁️ capm3🚀 rke2🐧 suse -
☁️ capm3🚀 kadm🐧 ubuntu -
☁️ capm3🚀 ck8s🐧 ubuntu -
☁️ capm3🚀 kadm🎬 rolling-update-no-wkld🛠️ ha,misc🐧 ubuntu -
☁️ capm3🚀 rke2🎬 wkld-k8s-upgrade🛠️ ha🐧 suse -
☁️ capm3🚀 kadm🎬 rolling-update🛠️ ha🐧 ubuntu -
☁️ capm3🚀 rke2🎬 upgrade-from-prev-release-branch🛠️ ha🐧 suse -
☁️ capm3🚀 rke2🛠️ misc,ha🐧 suse -
☁️ capm3🚀 rke2🎬 sylva-upgrade🛠️ ha,misc🐧 suse -
☁️ capm3🚀 kadm🎬 rolling-update🛠️ ha🐧 suse -
☁️ capm3🚀 ck8s🎬 rolling-update🛠️ ha🐧 ubuntu -
☁️ capm3🚀 rke2|okd🎬 no-update🐧 ubuntu|na -
☁️ capm3🚀 rke2🐧 suse🎬 upgrade-from-release-1.5 -
☁️ capm3🚀 rke2🐧 suse🎬 upgrade-to-main
Global config for deployment pipelines
- autorun pipelines
- allow failure on pipelines
- record sylvactl events
Notes:
- Enabling
autorunwill make deployment pipelines to be run automatically without human interaction - Disabling
allow failurewill make deployment pipelines mandatory for pipeline success. - if both
autorunandallow failureare disabled, deployment pipelines will need manual triggering but will be blocking the pipeline
Be aware: after configuration change, pipeline is not triggered automatically.
Please run it manually (by clicking the run pipeline button in Pipelines tab) or push new code.