- Implemented a queueing hint for PersistentVolumeClaim/Add event in the `CSILimit` plugin. ([#124703](https://github.com/kubernetes/kubernetes/pull/124703), [@utam0k](https://github.com/utam0k)) [SIG Scheduling and Storage]

- The infrastructure for contextual logging is complete (feature gate implemented, JSON backend ready). ([#108995](https://github.com/kubernetes/kubernetes/pull/108995), [@pohly](https://github.com/pohly))

		HTTPStatusCode: http.StatusNotFound,
	},
	ErrNotImplemented: {
		Code:           "NotImplemented",
		Description:    "A header you provided implies functionality that is not implemented",
		HTTPStatusCode: http.StatusNotImplemented,
	},
	ErrPreconditionFailed: {
		Code:           "PreconditionFailed",
		Description:    "At least one of the pre-conditions you specified did not hold",

   * its capacity threshold.
   *
   * The Least Recently Used page replacement algorithm was chosen due to its simplicity, high hit
   * rate, and ability to be implemented with O(1) time complexity. The initial LRU implementation
   * operates per-segment rather than globally for increased implementation simplicity. We expect
   * the cache hit rate to be similar to that of a global LRU algorithm.

	deleteUserIdentity(ctx context.Context, name string, userType IAMUserType) error
	deleteGroupInfo(ctx context.Context, name string) error
}

// iamStorageWatcher is implemented by `IAMStorageAPI` implementers that
// additionally support watching storage for changes.
type iamStorageWatcher interface {
	watch(ctx context.Context, keyPath string) <-chan iamWatchEvent
}

   *
   * <p>Each method invocation on the set returned by this method results in exactly one method
   * invocation on the backing map or its {@code keySet} view, with one exception. The {@code
   * addAll} method is implemented as a sequence of {@code put} invocations on the backing map.
   *
   * <p>The specified map must be empty at the time this method is invoked, and should not be

   * its capacity threshold.
   *
   * The Least Recently Used page replacement algorithm was chosen due to its simplicity, high hit
   * rate, and ability to be implemented with O(1) time complexity. The initial LRU implementation
   * operates per-segment rather than globally for increased implementation simplicity. We expect
   * the cache hit rate to be similar to that of a global LRU algorithm.

* Implemented `kubeadm upgrade plan` for checking whether you can upgrade your cluster to a newer version ([#48899](https://github.com/kubernetes/kubernetes/pull/48899), [@luxas](https://github.com/luxas))
    * Implemented `kubeadm upgrade apply` for upgrading your cluster from one version to an other

- Added a `runtime.ApplyConfiguration` interface implemented by all generated apply configuration types. ([#132194](https://github.com/kubernetes/kubernetes/pull/132194), [@alvaroaleman](https://github.com/alvaroaleman)) [SIG API Machinery and Instrumentation]

        response.onResponseEnd(ShutdownConnection)
        response.removeHeader("Content-Length")
      }

      override fun newRequestBody(body: String): RequestBody = throw TestAbortedException("END_OF_STREAM not implemented for requests")
    }, ;

    abstract fun setBody(
      response: MockResponse.Builder,
      content: Buffer?,
      chunkSize: Int,
    )