- [Kubefed](#kubefed)
    - [**Kubernetes API**](#kubernetes-api)
      - [User Provided Extensions](#user-provided-extensions)
    - [**Application Deployment**](#application-deployment)
      - [StatefulSet](#statefulset)
      - [DaemonSet](#daemonset-1)
      - [Deployments](#deployments)
      - [PodDisruptionBudget](#poddisruptionbudget)
    - [**Security**](#security)
      - [Admission Control](#admission-control)

message ResourceClaimSpec {
  // ResourceClassName references the driver and additional parameters
  // via the name of a ResourceClass that was created as part of the
  // driver deployment.
  optional string resourceClassName = 1;

  // ParametersRef references a separate object with arbitrary parameters
  // that will be used by the driver when allocating a resource for the
  // claim.
  //

    <class>
      <name>Site</name>
      <version>4.0.0+</version>
      <description>Contains the information needed for deploying websites.</description>
      <fields>
        <field>
          <name>id</name>
          <version>4.0.0+</version>
          <description>
            A unique identifier for a deployment location. This is used to match the

FastAPI added support for `Annotated` (and started recommending it) in version 0.95.0.

If you have an older version, you would get errors when trying to use `Annotated`.

Make sure you [Upgrade the FastAPI version](../deployment/versions.md#upgrading-the-fastapi-versions){.internal-link target=_blank} to at least 0.95.1 before using `Annotated`.

///

## Use `Annotated` in the type for the `q` parameter

## Notable Changes to Existing Behavior

### Deployments

- ReplicaSets of paused Deployments are now scaled while the Deployment is paused. This is retroactive to existing Deployments.
- When scaling a Deployment during a rollout, the ReplicaSets of all Deployments are now scaled proportionally based on the number of replicas they each have instead of only scaling the newest ReplicaSet.

/// info | "정보"

FastAPI는 0.95.0 버전부터 `Annotated`에 대한 지원을 (그리고 이를 사용하기 권장합니다) 추가했습니다.

옛날 버전을 가지고 있는 경우, `Annotated`를 사용하려 하면 에러를 맞이하게 될 것입니다.

`Annotated`를 사용하기 전에 최소 0.95.1로 [FastAPI 버전 업그레이드](../../deployment/versions.md#fastapi_2){.internal-link target=_blank}를 확실하게 하세요.

///

### `Depends` 불러오기

//// tab | Python 3.10+

```Python hl_lines="3"
{!> ../../docs_src/dependencies/tutorial001_an_py310.py!}

				host, _, err := net.SplitHostPort(getHost(r))
				if err != nil {
					host = r.Host
				}
				// Make sure to skip matching minio.<domain>` this is
				// specifically meant for operator/k8s deployment
				// The reason we need to skip this is for a special
				// usecase where we need to make sure that
				// minio.<namespace>.svc.<cluster_domain> is ignored
				// by the bucketDNS style to ensure that path style

Как основной сервер для запуска приложения **FastAPI**.

Вы можете объединить его с Gunicorn, чтобы иметь асинхронный многопроцессный сервер.

Узнать больше деталей можно в разделе [Развёртывание](deployment/index.md){.internal-link target=_blank}.

///

## Тестовые замеры и скорость

отличным вариантом (среди многих других) для разработки веб-API и приложений
в области дата-сайенс / машинного обучения.

Как добиться такого параллелизма в эксплуатации описано в разделе [Развёртывание](deployment/index.md){.internal-link target=_blank}.

## `async` и `await`

В современных версиях Python разработка асинхронного кода реализована очень интуитивно.

并且，您也可以利用并行和多进程（让多个进程并行运行）的优点来处理与机器学习系统中类似的 **CPU 密集型** 工作。

这一点，再加上 Python 是**数据科学**、机器学习（尤其是深度学习）的主要语言这一简单事实，使得 **FastAPI** 与数据科学/机器学习 Web API 和应用程序（以及其他许多应用程序）非常匹配。

了解如何在生产环境中实现这种并行性，可查看此文 [Deployment](deployment/index.md){.internal-link target=_blank}。

## `async` 和 `await`

现代版本的 Python 有一种非常直观的方式来定义异步代码。这使它看起来就像正常的"顺序"代码，并在适当的时候"等待"。

当有一个操作需要等待才能给出结果，且支持这个新的 Python 特性时，您可以编写如下代码：

```Python