}

// Returns a minio-go Client configured to access remote host described by destDNSRecord
// Applicable only in a federated deployment
var getRemoteInstanceClient = func(r *http.Request, host string) (*miniogo.Core, error) {
	cred := getReqAccessCred(r, globalSite.Region())
	// In a federated deployment, all the instances share config files
	// and hence expected to have same credentials.

El servidor web principal para ejecutar aplicaciones **FastAPI**.

También puedes usar la opción de línea de comandos `--workers` para tener un servidor multiproceso asíncrono.

Revisa más detalles en la sección [Despliegue](deployment/index.md){.internal-link target=_blank}.

///

## Benchmarks y velocidad { #benchmarks-and-speed }

- ReplicaSets and Deployments should always count `.status.availableReplicas` at the correct time without a delay. This results in faster reconciliation of Deployment conditions and faster, unblocked Deployment rollouts. ([#132121](https://github.com/kubernetes/kubernetes/pull/132121), [@atiratree](https://github.com/atiratree)) [SIG Apps]

     *
     * @param repository the repository where to deploy artifacts
     * @param artifacts the artifacts to deploy
     * @throws org.apache.maven.api.services.ArtifactDeployerException if the artifacts deployment failed
     *
     * @see org.apache.maven.api.services.ArtifactDeployer#deploy(Session, RemoteRepository, Collection)
     */

Cuando pasas el archivo a `fastapi run`, detectará automáticamente que es un archivo único y no parte de un paquete y sabrá cómo importarlo y servir tu aplicación FastAPI. 😎

## Conceptos de Despliegue { #deployment-concepts }

Hablemos nuevamente de algunos de los mismos [Conceptos de Despliegue](concepts.md){.internal-link target=_blank} en términos de contenedores.

但你也可以利用平行與多行程 (multiprocessing)（讓多個行程同時運行） 的優勢來處理機器學習系統中的 **CPU 密集型**工作。

這一點，再加上 Python 是 **資料科學**、機器學習，尤其是深度學習的主要語言，讓 **FastAPI** 成為資料科學/機器學習 Web API 和應用程式（以及許多其他應用程式）的絕佳選擇。

想了解如何在生產環境中實現這種平行性，請參見 [部屬](deployment/index.md){.internal-link target=_blank}。

## `async` 和 `await`

現代 Python 版本提供一種非常直觀的方式定義非同步程式碼。這使得它看起來就像正常的「順序」程式碼，並在適當的時機「等待」。

當某個操作需要等待才能回傳結果，並且支援這些新的 Python 特性時，你可以像這樣編寫程式碼：

```Python

파이썬이 **데이터 사이언스**, 머신러닝과 특히 딥러닝에 의 주된 언어라는 간단한 사실에 더해서, 이것은 FastAPI를 데이터 사이언스 / 머신러닝 웹 API와 응용프로그램에 (다른 것들보다) 좋은 선택지가 되게 합니다.

배포시 병렬을 어떻게 가능하게 하는지 알고싶다면, [배포](deployment/index.md){.internal-link target=_blank}문서를 참고하십시오.

## `async`와  `await`

최신 파이썬 버전에는 비동기 코드를 정의하는 매우 직관적인 방법이 있습니다. 이는 이것을 평범한 "순차적" 코드로 보이게 하고, 적절한 순간에 당신을 위해 "대기"합니다.

Quando você passa o arquivo para `fastapi run` ele detecta automaticamente que é um arquivo único e não parte de um pacote e sabe como importá-lo e servir sua aplicação FastAPI. 😎

## Conceitos de Implantação { #deployment-concepts }

Vamos falar novamente sobre alguns dos mesmos [Conceitos de Implantação](concepts.md){.internal-link target=_blank} em termos de contêineres.

#### AWS

- The `system:aws-cloud-provider` cluster role, deprecated in v1.13, is no longer auto-created. Deployments using the AWS cloud provider should grant required permissions to the `aws-cloud-provider` service account in the `kube-system` namespace as part of deployment.  ([#66635](https://github.com/kubernetes/kubernetes/pull/66635), [@wgliang](https://github.com/wgliang))

#### Azure

common:android_x86_64 --platforms=@org_tensorflow//tensorflow/tools/toolchains/android:x86_64

# Build everything statically for Android since all static libs are later
# bundled together into a single .so for deployment.
common:android --dynamic_mode=off
# TODO(belitskiy): Remove once on Clang 20.
common:android --define=xnn_enable_avxvnniint8=false

# Sets the default Apple platform to macOS.