PV controller should not use Controller.Requeue, as as it is not available in
shared informers. We need to implement our own work queues instead where we
can enqueue volumes/claims as we want.
Currently, the HPA considers unready pods the same as ready pods when
looking at their CPU and custom metric usage. However, pods frequently
use extra CPU during initialization, so we want to consider them
separately.
This commit causes the HPA to consider unready pods as having 0 CPU
usage when scaling up, and ignores them when scaling down. If, when
scaling up, factoring the unready pods as having 0 CPU would cause a
downscale instead, we simply choose not to scale. Otherwise, we simply
scale up at the reduced amount caculated by factoring the pods in at
zero CPU usage.
The effect is that unready pods cause the autoscaler to be a bit more
conservative -- large increases in CPU usage can still cause scales,
even with unready pods in the mix, but will not cause the scale factors
to be as large, in anticipation of the new pods later becoming ready and
handling load.
Similarly, if there are pods for which no metrics have been retrieved,
these pods are treated as having 100% of the requested metric when
scaling down, and 0% when scaling up. As above, this cannot change the
direction of the scale.
This commit also changes the HPA to ignore superfluous metrics -- as
long as metrics for all ready pods are present, the HPA we make scaling
decisions. Currently, this only works for CPU. For custom metrics, we
cannot identify which metrics go to which pods if we get superfluous
metrics, so we abort the scale.
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Enable HPA controller based on autoscaling/v1 api group
ref #29778
``` release-note
Enable HPA controller based on autoscaling/v1 api group.
```
Automatic merge from submit-queue
lister-gen updates
- Remove "zz_generated." prefix from generated lister file names
- Add support for expansion interfaces
- Switch to new generated JobLister
@deads2k @liggitt @sttts @mikedanese @caesarxuchao for the lister-gen changes
@soltysh @deads2k for the informer / job controller changes
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convert SA controller to shared informers
convert the SA controller to shared informer + workqueue.
I think one of @derekwaynecarr @ncdc or @liggitt
Alter how runtime.SerializeInfo is represented to simplify negotiation
and reduce the need to allocate during negotiation. Simplify the dynamic
client's logic around negotiating type. Add more tests for media type
handling where necessary.
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Abstraction of endpoints in leaderelection code
**Problem Statement**:
Currently the Leader Election code is hard coded against the endpoints api. This causes performance issues on large scale clusters due to incessant iptables refreshes, see: https://github.com/kubernetes/kubernetes/issues/26637
The goal of this PR is to:
- Abstract Endpoints out of the leader election code
- Fix a known bug in the event recording
fixes#18386
**Special notes for your reviewer**:
This is a 1st pass at abstracting the details of endpoints out into an interface. Any suggestions around how we we want to refactor this interface is welcome and could be addressed in either this PR or follow on PR.
/cc @ncdc @wojtek-t @rrati
persistentvolumecontroller.NewPersistentVolumeController has 11 arguments now,
put them into a structure.
Also, rename NewPersistentVolumeController to NewController, persistentvolume
is already name of the package.
Fixes#30219
The GC needs to build clients based only on Resource or Kind. Hoist the
restmapper out of the controller and the clientpool, support a new
ClientForGroupVersionKind and ClientForGroupVersionResource, and use the
appropriate one in both places.
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convert daemonset controller to shared informers
Convert the daemonset controller completely to `SharedInformers` for its list/watch resources.
@kubernetes/rh-cluster-infra @ncdc
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Switch ScheduledJob controller to use clientset
**What this PR does / why we need it**:
This is part of #25442. I've applied here the same fix I've applied in the manual client in #29187, see the 1st commit for that (@caesarxuchao we've talked about it in #29856).
@deads2k as promised
@janetkuo ptal
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Use PV shared informer in PV controller
Use the PV shared informer, addressing (partially) https://github.com/kubernetes/kubernetes/issues/26247 . Using the PVC shared informer is not so simple because sometimes the controller wants to `Requeue` and...
Automatic merge from submit-queue
Add Events for operation_executor to show status of mounts, failed/successful to show in describe events
Fixes#27590
@saad-ali @pmorie @erinboyd
After talking with @pmorie last week about the above issue, I decided to poke around and see if I could remedy. The refactoring broke my previous UXP merged PR's that correctly showed failed mount errors in the describe events. However, Not sure I implemented correctly, but it tested out and seems to be working, let me know what I missed or if this is not the correct approach.
```
Events:
FirstSeen LastSeen Count From SubobjectPath Type Reason Message
--------- -------- ----- ---- ------------- -------- ------ -------
2m 2m 1 {default-scheduler } Normal Scheduled Successfully assigned nfs-bb-pod1 to 127.0.0.1
44s 44s 1 {kubelet 127.0.0.1} Warning FailedMount Unable to mount volumes for pod "nfs-bb-pod1_default(a94f64f1-37c9-11e6-9aa5-52540073d346)": timeout expired waiting for volumes to attach/mount for pod "nfs-bb-pod1"/"default". list of unattached/unmounted volumes=[nfsvol]
44s 44s 1 {kubelet 127.0.0.1} Warning FailedSync Error syncing pod, skipping: timeout expired waiting for volumes to attach/mount for pod "nfs-bb-pod1"/"default". list of unattached/unmounted volumes=[nfsvol]
38s 38s 1 {kubelet } Warning FailedMount Unable to mount volumes for pod "a94f64f1-37c9-11e6-9aa5-52540073d346": Mount failed: exit status 32
Mounting arguments: nfs1.rhs:/opt/data99 /var/lib/kubelet/pods/a94f64f1-37c9-11e6-9aa5-52540073d346/volumes/kubernetes.io~nfs/nfsvol nfs []
Output: mount.nfs: Connection timed out
Resolution hint: Check and make sure the NFS Server exists (ensure that correct IPAddress/Hostname was given) and is available/reachable.
Also make sure firewall ports are open on both client and NFS Server (2049 v4 and 2049, 20048 and 111 for v3).
Use commands telnet <nfs server> <port> and showmount <nfs server> to help test connectivity.
```
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Rewrite service controller to apply best controller pattern
This PR is a long term solution for #21625:
We apply the same pattern like replication controller to service controller to avoid the potential process order messes in service controller, the change includes:
1. introduce informer controller to watch service changes from kube-apiserver, so that every changes on same service will be kept in serviceStore as the only element.
2. put the service name to be processed to working queue
3. when process service, always get info from serviceStore to ensure the info is up-to-date
4. keep the retry mechanism, sleep for certain interval and add it back to queue.
5. remote the logic of reading last service info from kube-apiserver before processing the LB info as we trust the info from serviceStore.
The UT has been passed, manual test passed after I hardcode the cloud provider as FakeCloud, however I am not able to boot a k8s cluster with any available cloudprovider, so e2e test is not done.
Submit this PR first for review and for triggering a e2e test.
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add configz.InstallHandler in controllermanager.go
I think it should add configz.InstallHandler for Run function in controllermanager.go.
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two optimization for StartControllers in controllermanager.go
The PR changed two places to optimise StartControllers function in controllermanager.go.
Automatic merge from submit-queue
controller-manager support number of garbage collector workers to be configurable
The number of garbage collector workers of controller-manager is a fixed value 5 now, make it configurable should more properly
