- Fixed a regression introduced in 1.23.0 where Azure load balancers were not kept up to date with the state of cluster nodes. In particular, nodes that are not in the ready state and are not newly created (i.e. not having the `node.cloudprovider.kubernetes.io/uninitialized` taint) now get removed from Azure load balancers. ([#109932](https://github.com/kubernetes/kubernetes/pull/109932), [@ricky-rav](https://github.com/ricky-rav))...

The `string()` method on response body is convenient and efficient for small documents. But if the response body is large (greater than 1 MiB), avoid `string()` because it will load the entire document into memory. In that case, prefer to process the body as a stream.

=== ":material-language-kotlin: Kotlin"
    ```kotlin
      private val client = OkHttpClient()

      fun run() {

  # SDK API level, as the NDK API level is effectively the *min* target SDK
  # version.
  meta = open(os.path.join(android_ndk_home_path, 'meta/platforms.json'))
  platforms = json.load(meta)
  meta.close()
  aliases = platforms['aliases']
  api_levels = sorted(list(set([aliases[i] for i in aliases])))

  android_ndk_api_level = prompt_loop_or_load_from_env(
      environ_cp,

unauthenticated. The mitigation may be enabled by setting the `UnauthenticatedHTTP2DOSMitigation` feature gate to `true` (it is disabled by default). An API server fronted by an L7 load balancer that already mitigates these http/2 attacks may choose not to enable the kube-apiserver mitigation to avoid disrupting load balancer → kube-apiserver connections if http/2 requests from multiple clients share the same backend connection. An API server on a private network may choose not to enable the kube-apiserver...

	//Move vector element to vector.
	VMOVQ		V1.B[3], V9.B16 // 298cf772
	VMOVQ		V2.H[2], V8.H8  // 48c8f772
	VMOVQ		V3.W[1], V7.W4  // 67e4f772
	VMOVQ		V4.V[0], V6.V2  // 86f0f772

	// Load data from memory and broadcast to each element of a vector register: VMOVQ    offset(Rj), <Vd>.<T>
	VMOVQ		(R4), V0.B16	// 80008030
	VMOVQ		1(R4), V0.B16	// 80048030
	VMOVQ		-3(R4), V0.B16	// 80f4bf30

   ([#121946](https://github.com/kubernetes/kubernetes/pull/121946), [@liggitt](https://github.com/liggitt))

'pointerdown',\n  'pointermove',\n  'pointerup',\n  'pointerleave',\n  'pointercancel',\n  'gesturestart',\n  'gesturechange',\n  'gestureend',\n  'focus',\n  'blur',\n  'change',\n  'reset',\n  'select',\n  'submit',\n  'focusin',\n  'focusout',\n  'load',\n  'unload',\n  'beforeunload',\n  'resize',\n  'move',\n  'DOMContentLoaded',\n  'readystatechange',\n  'error',\n  'abort',\n  'scroll'\n])\n\n/**\n * Private methods\n */\n\nfunction makeEventUid(element, uid) {\n  return (uid && `${uid}::${uidEvent++}`)...

     */
    public PersistentHandleManager getPersistentHandleManager() {
        return persistentHandleManager;
    }

    /**
     * Select transport for the given message using multi-channel load balancing
     *
     * @param message message to send
     * @return selected transport
     */
    public SmbTransportImpl selectTransport(CommonServerMessageBlockRequest message) {

├── app
│   ├── __init__.py
│   └── main.py
├── Dockerfile
└── requirements.txt
```

#### Por Trás de um Proxy de Terminação TLS

Se você está executando seu contêiner atrás de um Proxy de Terminação TLS (load balancer) como Nginx ou Traefik, adicione a opção `--proxy-headers`, isso fará com que o Uvicorn confie nos cabeçalhos enviados por esse proxy, informando que o aplicativo está sendo executado atrás do HTTPS, etc.

```Dockerfile

  // tf_cuda_cc_test() bazel rule and remove the next line.
  if (!GPUDeviceName().empty()) return;

#if !defined(TENSORFLOW_NO_SHARED_OBJECTS)
  {
    // Load the library.
    TF_Status* status = TF_NewStatus();
    string lib_path = tensorflow::GetDataDependencyFilepath(
        tensorflow::io::JoinPath("tensorflow", "c", "test_op1.so"));