Por exemplo, há uma <a href="https://hub.docker.com/_/python" class="external-link" target="_blank">Imagem Python</a> oficial.

E existe muitas outras imagens para diferentes coisas, como bancos de dados, por exemplo:

* <a href="https://hub.docker.com/_/postgres" class="external-link" target="_blank">PostgreSQL</a>
* <a href="https://hub.docker.com/_/mysql" class="external-link" target="_blank">MySQL</a>

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。

#### Docker Compose

你可以使用 **Docker Compose** 部署到**单个服务器**（而不是集群），因此你没有一种简单的方法来管理容器的复制（使用 Docker Compose），同时保留共享网络和 **负载均衡**。

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).

Und es gibt viele andere Images für verschiedene Dinge wie Datenbanken, zum Beispiel für:

* <a href="https://hub.docker.com/_/postgres" class="external-link" target="_blank">PostgreSQL</a>
* <a href="https://hub.docker.com/_/mysql" class="external-link" target="_blank">MySQL</a>

# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
# Disable Docker

## Образы контейнеров

Docker является одним оз основных инструментов для создания **образов** и  **контейнеров** и управления ими.

Существует общедоступный <a href="https://hub.docker.com/" class="external-link" target="_blank">Docker Hub</a> с подготовленными **официальными образами** многих инструментов, окружений, баз данных и приложений.

## 1. Prerequisites

* Familiarity with [Docker Compose](https://docs.docker.com/compose/overview/).
* Docker installed on your machine. Download the relevant installer from [here](https://www.docker.com/community-edition#/download).

## 2. Run Distributed MinIO on Docker Compose

#   container and start fresh, run "docker rm -f tf". Removing the container
#   destroys some temporary bazel data and causes longer builds.
#
#   You will need the NVIDIA Container Toolkit for GPU testing:
#   https://github.com/NVIDIA/nvidia-container-toolkit
#
#   Note: if you interrupt a bazel command on docker (ctrl-c), you
#   will need to run `docker exec tf pkill bazel` to quit bazel.
#

### Full Stack FastAPI PostgreSQL - Özellikler

* Full **Docker** entegrasyonu (Docker based).
* Docker Swarm Mode ile deployment.
* **Docker Compose** entegrasyonu ve lokal geliştirme için optimizasyon.
* Uvicorn ve Gunicorn ile **Production ready** Python web server'ı.

### Full Stack FastAPI PostgreSQL - Особенности

* Полностью интегрирован с **Docker** (основан на Docker).
* Развёртывается в режиме Docker Swarm.
* Интегрирован с **Docker Compose** и оптимизирован для локальной разработки.
* **Готовый к реальной работе** веб-сервер Python использующий Uvicorn и Gunicorn.