<div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/tiangolo/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>

---

"_[...] Mò ń lo **FastAPI** púpọ̀ ní lẹ́nu àìpẹ́ yìí. [...] Mo n gbero láti lo o pẹ̀lú àwọn ẹgbẹ mi fún gbogbo iṣẹ **ML wa ni Microsoft**. Diẹ nínú wọn ni afikun ti ifilelẹ àwọn ẹya ara ti ọja **Windows** wa pẹ̀lú àwọn ti **Office**._"

<div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/tiangolo/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>

---

当然，在某些**特殊情况**，你可能希望拥有 **一个容器**，其中包含 **Gunicorn 进程管理器**，并在其中启动多个 **Uvicorn worker进程**。

在这些情况下，你可以使用 **官方 Docker 镜像**，其中包含 **Gunicorn** 作为运行多个 **Uvicorn 工作进程** 的进程管理器，以及一些默认设置来根据当前情况调整工作进程数量 自动CPU核心。 我将在下面的 [Gunicorn - Uvicorn 官方 Docker 镜像](#official-docker-image-with-gunicorn-uvicorn) 中告诉你更多相关信息。

下面一些什么时候这种做法有意义的示例：


#### 一个简单的应用程序

如果你的应用程序**足够简单**，你不需要（至少现在不需要）过多地微调进程数量，并且你可以使用自动默认值，那么你可能需要容器中的进程管理器 （使用官方 Docker 镜像），并且你在**单个服务器**而不是集群上运行它。

## 評価

"_[...] 最近 **FastAPI** を使っています。 [...] 実際に私のチームの全ての **Microsoft の機械学習サービス** で使用する予定です。 そのうちのいくつかのコアな**Windows**製品と**Office**製品に統合されつつあります。_"

<div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/tiangolo/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>

---

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## Görüşler

"_[...] Bugünlerde **FastAPI**'ı çok fazla kullanıyorum. [...] Aslında bunu ekibimin **Microsoft'taki Machine Learning servislerinin** tamamında kullanmayı planlıyorum. Bunlardan bazıları **Windows**'un ana ürünlerine ve **Office** ürünlerine entegre ediliyor._"

<div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/tiangolo/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>

## Враження

"_[...] I'm using **FastAPI** a ton these days. [...] I'm actually planning to use it for all of my team's **ML services at Microsoft**. Some of them are getting integrated into the core **Windows** product and some **Office** products._"

<div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/tiangolo/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>

---

"_[...] J'utilise beaucoup **FastAPI** ces derniers temps. [...] Je prévois de l'utiliser dans mon équipe pour tous les **services de ML chez Microsoft**. Certains d'entre eux seront intégrés dans le coeur de **Windows** et dans certains produits **Office**._"

<div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/tiangolo/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>

---

## Opinions

"_[...] I'm using **FastAPI** a ton these days. [...] I'm actually planning to use it for all of my team's **ML services at Microsoft**. Some of them are getting integrated into the core **Windows** product and some **Office** products._"

<div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/tiangolo/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>

---

In those cases, you can use the **official Docker image** that includes **Gunicorn** as a process manager running multiple **Uvicorn worker processes**, and some default settings to adjust the number of workers based on the current CPU cores automatically. I'll tell you more about it below in [Official Docker Image with Gunicorn - Uvicorn](#official-docker-image-with-gunicorn-uvicorn).