- `istio-cni-config` configmap with CNI plugin config to add to CNI plugin chained config
    - creates service-account `istio-cni` with `ClusterRoleBinding` to allow gets on pods' info and delete/modifications for recovery.

- `install-cni` container
    - copies `istio-cni` and `istio-iptables` to `/opt/cni/bin`
    - creates kubeconfig for the service account the pod runs under

    *   Added support for cross-trainer data caching in tf.data service. This
        saves computation resources when concurrent training jobs train from the
        same dataset. See
        (https://www.tensorflow.org/api_docs/python/tf/data/experimental/service#sharing_tfdata_service_with_concurrent_trainers)
        for more details.
    *   Added `dataset_id` to `tf.data.experimental.service.register_dataset`.

      for (call in runningSyncCalls) {
        call.cancel()
      }
    }
  }

  /**
   * Promotes eligible calls from [readyAsyncCalls] to [runningAsyncCalls] and runs them on the
   * executor service. Must not be called with synchronization because executing calls can call
   * into user code.
   *
   * @return true if the dispatcher is currently running calls.
   */
  private fun promoteAndExecute(): Boolean {

| `description` | `str` | Краткое описание API. Может быть использован Markdown. |
| `version` | `string` | Версия API. Версия вашего собственного приложения, а не OpenAPI. К примеру `2.5.0`. |
| `terms_of_service` | `str` | Ссылка к условиям пользования API. Если указано, то это должен быть URL-адрес. |

        "//tensorflow/core/distributed_runtime/eager:eager_client",
        "//tensorflow/core/distributed_runtime/rpc:grpc_channel",
        "//tensorflow/core/distributed_runtime/rpc:grpc_server_lib",
        "//tensorflow/core/distributed_runtime/rpc:grpc_worker_cache",
        "//tensorflow/core/distributed_runtime/rpc:grpc_worker_service",

      the terms of any separate license agreement you may have executed
      with Licensor regarding such Contributions.

   6. Trademarks. This License does not grant permission to use the trade
      names, trademarks, service marks, or product names of the Licensor,
      except as required for reasonable and customary use in describing the
      origin of the Work and reproducing the content of the NOTICE file.

        "@local_xla//xla/service:computation_placer",
        "//tensorflow/core",
        "//tensorflow/core/common_runtime/eager:context",
        "//tensorflow/core/common_runtime/eager:tensor_handle",
        "//tensorflow/core/config:flag_defs",
        "//tensorflow/core/config:flags",
        "//tensorflow/core/data/service:dispatcher_client",
        "//tensorflow/core/data/service:grpc_util",

  Offline mode is essential for breaking the requirement that m2 operate in a
  network-connected environment. It means legitimizing a development environment
  in which there is no network connection, and providing a robust m2 service
  offering in such circumstances. Introduction of offline mode allows m2 to
  anticipate the inevitable network failures that accompany being physically
  disconnected from the network, and adjust it's behavior accordingly.

Und es zeigt deren wahres Engagement für FastAPI und seine **Community** (Sie), da diese Ihnen nicht nur einen **guten Service** bieten möchten, sondern auch sicherstellen möchten, dass Sie über ein **gutes und gesundes Framework** verfügen, FastAPI. 🙇

  // +optional
  repeated k8s.io.api.core.v1.PersistentVolumeClaim volumeClaimTemplates = 4;

  // serviceName is the name of the service that governs this StatefulSet.
  // This service must exist before the StatefulSet, and is responsible for
  // the network identity of the set. Pods get DNS/hostnames that follow the
  // pattern: pod-specific-string.serviceName.default.svc.cluster.local