## 容器镜像

Docker 一直是创建和管理**容器镜像**和**容器**的主要工具之一。

还有一个公共 <a href="https://hub.docker.com/" class="external-link" target="_blank">Docker Hub</a> ，其中包含预制的 **官方容器镜像**, 适用于许多工具、环境、数据库和应用程序。

例如，有一个官方的 <a href="https://hub.docker.com/_/python" class="external-link" target="_blank">Python 镜像</a>。

还有许多其他镜像用于不同的需要（例如数据库），例如：

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

## Container Images

Docker has been one of the main tools to create and manage **container images** and **containers**.

And there's a public <a href="https://hub.docker.com/" class="external-link" target="_blank">Docker Hub</a> with pre-made **official container images** for many tools, environments, databases, and applications.

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>

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>

그리고 <a href="https://hub.docker.com/" class="external-link" target="_blank">도커 허브</a>에 다양한 도구, 환경, 데이터베이스, 그리고 어플리케이션에 대해 미리 만들어진 **공식 컨테이너 이미지**가 공개되어 있습니다.

예를 들어, 공식 <a href="https://hub.docker.com/_/python" class="external-link" target="_blank">파이썬 이미지</a>가 있습니다.

또한 다른 대상, 예를 들면 데이터베이스를 위한 이미지들도 있습니다:

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

Vous pouvez utiliser <a href="https://www.docker.com/" class="external-link" target="_blank">**Docker**</a> pour le déploiement. Il présente plusieurs avantages comme la sécurité, la réplicabilité, la simplicité de développement, etc.

Si vous utilisez Docker, vous pouvez utiliser l'image Docker officielle :

## 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.
#