writer.flush()
  }

  /**
   * Degrades this connection such that new streams can neither be created locally, nor accepted
   * from the remote peer. Existing streams are not impacted. This is intended to permit an endpoint
   * to gracefully stop accepting new requests without harming previously established streams.
   */
  @Throws(IOException::class)
  fun shutdown(statusCode: ErrorCode) {
    writer.withLock {

Routes are declared in a single place, using functions declared in other places (instead of using decorators that can be placed right on top of the function that handles the endpoint). This is closer to how Django does it than to how Flask (and Starlette) does it. It separates in the code things that are relatively tightly coupled.

/// check | Inspired **FastAPI** to

- Fixing issue with Winkernel Proxier - No ingress load balancer rules with endpoints to support load balancing when all the endpoints are terminating. ([#114453](https://github.com/kubernetes/kubernetes/pull/114453),...

- Fix a bug on the endpoints controller that does not reconcile the Endpoint object after this is truncated (it gets more than 1000 endpoints addresses) ([#127417](https://github.com/kubernetes/kubernetes/pull/127417), [@aojea](https://github.com/aojea)) [SIG Apps, Network and Testing]

    dependency to secure grpc dependency).
*   Adding new endpoints for existing tensorflow symbols. These endpoints are
    going to be the preferred endpoints going forward and may replace some of
    the existing endpoints in the future. List of new endpoints:
    *   New endpoints in `tf.image` namespace: `tf.image.extract_image_patches`
    *   New endpoints in `tf.debugging` namespace:

Las rutas se declaran en un solo lugar, usando funciones declaradas en otros lugares (en lugar de usar decoradores que pueden colocarse justo encima de la función que maneja el endpoint). Esto se acerca más a cómo lo hace Django que a cómo lo hace Flask (y Starlette). Separa en el código cosas que están relativamente acopladas.

/// check | Inspiró a **FastAPI** a

labels.ldap_group_filter=Filtro gruppo
labels.ldap_memberof_attribute=Attributo memberOf
labels.notification_login=Pagina di login
labels.notification_search_top=Pagina principale di ricerca
labels.storage_endpoint=Endpoint
labels.storage_access_key=Chiave di accesso
labels.storage_secret_key=Chiave segreta
labels.storage_bucket=Bucket
labels.send_testmail=Invia email di test
labels.backup_configuration=Backup
labels.backup_name=Nome

labels.ldap_group_filter=Group Filter
labels.ldap_memberof_attribute=memberOf Attribute
labels.notification_login=Login Page
labels.notification_search_top=Search Top Page
labels.storage_endpoint=Endpoint
labels.storage_access_key=Access Key
labels.storage_secret_key=Secret Key
labels.storage_bucket=Bucket
labels.send_testmail=Send Test Mail
labels.backup_configuration=Backup
labels.backup_name=Name

			})
		}(disk)
	}
	wg.Wait()
}

// Remove the old multipart uploads on the given disk.
func (er erasureObjects) cleanupStaleUploadsOnDisk(ctx context.Context, disk StorageAPI) {
	drivePath := disk.Endpoint().Path

	readDirFn(pathJoin(drivePath, minioMetaMultipartBucket), func(shaDir string, typ os.FileMode) error {
		readDirFn(pathJoin(drivePath, minioMetaMultipartBucket, shaDir), func(uploadIDDir string, typ os.FileMode) error {

- The endpointslice mirroring controller mirrors endpoints annotations and labels to the generated endpoint slices, it also ensures that updates on any of these fields on the endpoints are mirrored.