* Kubelet won't evict a static pod with priority `system-node-critical` upon resource pressure. ([#74222](https://github.com/kubernetes/kubernetes/pull/74222), [@Huang-Wei](https://github.com/Huang-Wei))

## Changelog since v1.12.6

### Other notable changes

* Kubelet won't evict a static pod with priority `system-node-critical` upon resource pressure. ([#74222](https://github.com/kubernetes/kubernetes/pull/74222), [@Huang-Wei](https://github.com/Huang-Wei))

* Kubelet won't evict a static pod with priority `system-node-critical` upon resource pressure. ([#74222](https://github.com/kubernetes/kubernetes/pull/74222), [@Huang-Wei](https://github.com/Huang-Wei))



# v1.11.9

                }
              });
    }

    threadPool.shutdown();
    threadPool.awaitTermination(300, SECONDS);

    // Since we're not doing any more cache operations, and the cache only expires/evicts when doing
    // other operations, the cache and the removal queue won't change from this point on.

    // Verify that each received removal notification was valid

                }
              });
    }

    threadPool.shutdown();
    threadPool.awaitTermination(300, SECONDS);

    // Since we're not doing any more cache operations, and the cache only expires/evicts when doing
    // other operations, the cache and the removal queue won't change from this point on.

    // Verify that each received removal notification was valid

- Fixed two regressions introduced by the PodDisruptionConditions feature (on by default in 1.26):
  - pod eviction API calls returned spurious precondition errors and required a second evict API call to succeed

is now easier to integrate into custom networking environments by supporting
TLS for secure communication and L7 http-based traffic routing.
     * Graceful Node Shutdown (aka drain) - The new “kubectl drain” command gracefully
evicts pods from nodes in preparation for disruptive operations like kernel
upgrades or maintenance.
     * Custom Metrics for Autoscaling (HorizontalPodAutoscaler API in the Autoscaling