Automatic merge from submit-queue
Further reduce cluster-autoscaler e2e flakiness
Ref: https://github.com/kubernetes/autoscaler/issues/89
Add pdbs for additional kube-system pod, move adding
pdbs to separate function, as it will need to be reused
in new tests we're working on (ex. scale to 0).
Automatic merge from submit-queue
Added an e2e test timing HPA + CA scaling up from 1 to 8 pods and from 3 to >=4 clusters
**What this PR does / why we need it**:
**Which issue this PR fixes** *(optional, in `fixes #<issue number>(, fixes #<issue_number>, ...)` format, will close that issue when PR gets merged)*: fixes#46847
**Special notes for your reviewer**:
**Release note**:
```release-note
NONE
```
Automatic merge from submit-queue
Add new e2e test for cluster size autoscaler (evicting system pods)
This test verifies that cluster autoscaler drains nodes with system pods running if they have a PDB.
Automatic merge from submit-queue (batch tested with PRs 46835, 46856)
Made tests that create Horizontal Pod Autoscaler delete it after they are done.
**What this PR does / why we need it**:
**Which issue this PR fixes** *(optional, in `fixes #<issue number>(, fixes #<issue_number>, ...)` format, will close that issue when PR gets merged)*: fixes#46847
**Special notes for your reviewer**:
**Release note**:
```release-note
NONE
```
Automatic merge from submit-queue (batch tested with PRs 43844, 44284)
Add a retry to cluster-autoscaler e2e
This should fix https://github.com/kubernetes/kubernetes/issues/44268.
The flake was caused by following sequence of events:
1. Cluster was at minimum size (3), some node was unneeded for a while.
2. Setup for some test (scale-down, failure) would increase node group size (to 5) and wait for new nodes to come up.
3. As soon as new node come up (cluster size 4) CA would scale-down the old unneeded node (setting node group size to 4).
4. Node group would not reach size 5 (as the target was now 4) and the test would timeout and fail.
This PR makes the setup monitor re-set the target node group size if the above scenario happens.
Kubernetes Submit Queue