63a05c8bc9
Automatic merge from submit-queue (batch tested with PRs 60159, 60731, 60720, 60736, 60740). If you want to cherry-pick this change to another branch, please follow the instructions <a href="https://github.com/kubernetes/community/blob/master/contributors/devel/cherry-picks.md">here</a>. [Flaky Test] Increase amount of memory filled by memory allocatable eviction test **What this PR does / why we need it**: MemoryAllocatableEviction tests have been somewhat flaky: https://k8s-testgrid.appspot.com/sig-node-kubelet#kubelet-serial-gce-e2e&include-filter-by-regex=MemoryAllocatable The failure on the flakes is ["Pod ran to completion"](https://k8s-gubernator.appspot.com/build/kubernetes-jenkins/logs/ci-kubernetes-node-kubelet-serial/3785#k8sio-memoryallocatableeviction-slow-serial-disruptive-when-we-run-containers-that-should-cause-memorypressure-should-eventually-evict-all-of-the-correct-pods). Looking at [an example log](https://storage.googleapis.com/kubernetes-jenkins/logs/ci-kubernetes-node-kubelet-serial/3785/artifacts/tmp-node-e2e-6070a774-cos-stable-63-10032-71-0/kubelet.log) (and search for memory-hog-pod, we can see that this pod fails admission because the allocatable memory threshold has already been crossed. `eviction manager: thresholds - ignoring grace period: threshold [signal=allocatableMemory.available, quantity=250Mi] observed 242404Ki` There is likely memory usage because the allocatable cgroup is not low on memory, and thus has not reclaimed all pages belonging to previous test containers. Of the 300Mi of capacity in the allocatalbe cgroup, 250Mi is reserved for the eviction threshold, and only 50 is left for the test. Increasing this to a 400Mi cgroup limit, with 150Mi for pods should eliminate this flake. **Release note**: ```release-note NONE ``` /sig node /kind bug /priority critical-urgent /assign @Random-Liu @yujuhong
Kubernetes
Kubernetes is an open source system for managing containerized applications across multiple hosts; providing basic mechanisms for deployment, maintenance, and scaling of applications.
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