- Add write and read permissions for workloads to the admin cluster role. Add write permissions for workloads to the edit cluster role. Add read permissions for workloads to the view cluster role. ([#135418](https://github.com/kubernetes/kubernetes/pull/135418), [@carlory](https://github.com/carlory)) [SIG Auth]

that they span multiple clusters. Creating a Federated HPA targeting
multiple clusters ensures that cluster-level autoscalers are
consistently deployed across those clusters, and dynamically managed
to ensure that autoscaling can occur optimially in all clusters,
within a set of global constraints on the total number of replicas
permitted across all clusters.  If replicas are not

}
```

## 4. Enable ILM transition feature

        return project.getTasks().register(taskName, RestIntegTestTask.class, testTask -> {
            testTask.setGroup(JavaBasePlugin.VERIFICATION_GROUP);
            testTask.setDescription("Runs the REST tests against an external cluster");
            project.getPlugins().withType(JavaPlugin.class, t ->
                testTask.mustRunAfter(project.getTasks().named("test"))
            );

- Kubectl: `-o` can now be used as a shortcut for `--output` in `kubectl explain <resource> --output plaintext-openapiv2` ([#127869](https:...

### Cluster Lifecycle

      - [Horizontal Pod Autoscaler](#horizontal-pod-autoscaler)
    - [**Cluster Lifecycle**](#cluster-lifecycle)
      - [kubeadm](#kubeadm-1)
      - [Cloud Provider Support](#cloud-provider-support)
    - [**Cluster Federation**](#cluster-federation)
      - [Placement Policy](#placement-policy)
      - [Cluster Selection](#cluster-selection)
    - [**Instrumentation**](#instrumentation)

#include "tensorflow/core/distributed_runtime/rpc/grpc_server_lib.h"
#include "tensorflow/core/platform/casts.h"
#include "tensorflow/core/platform/protobuf.h"
#include "tensorflow/core/platform/test.h"
#include "tensorflow/core/protobuf/cluster.pb.h"
#include "tensorflow/core/protobuf/tensorflow_server.pb.h"

namespace {

using ::tensorflow::string;

void ReplaceTaskInServerDef(tensorflow::ServerDef* server_def, int task_index) {

`system:aggregate-to-edit` role no longer includes write access to the Endpoints API. For new Kubernetes 1.22 clusters, the `edit` and `admin` roles will no longer include that access in newly created Kubernetes 1.22 clusters. This will have no affect on existing clusters upgrading to Kubernetes 1.22. To retain write access to Endpoints in the aggregated `edit` and `admin` roles for newly created 1.22 clusters, refer to https://github.com/kubernetes/website/pull/29025. ([#103704](https://github.com/kubernet...

     */
    public SuggestSettingsBuilder indicesTimeout(final String timeout) {
        timeoutSettings.setIndicesTimeout(timeout);
        return this;
    }

    /**
     * Sets the cluster timeout.
     * @param timeout The cluster timeout.
     * @return This builder instance.
     */
    public SuggestSettingsBuilder clusterTimeout(final String timeout) {
        timeoutSettings.setClusterTimeout(timeout);