## コンテナ・イメージ

Dockerは、**コンテナ・イメージ**と**コンテナ**を作成・管理するための主要なツールの1つです。

そして、DockerにはDockerイメージ（コンテナ）を共有する<a href="https://hub.docker.com/" class="external-link" target="_blank">Docker Hub</a>というものがあります。

Docker Hubは 多くのツールや環境、データベース、アプリケーションに対応している予め作成された**公式のコンテナ・イメージ**をパブリックに提供しています。

例えば、公式イメージの1つに<a href="https://hub.docker.com/_/python" class="external-link" target="_blank">Python Image</a>があります。

Puedes leer más sobre esto en las <a href="https://docs.docker.com/reference/dockerfile/#shell-and-exec-form" class="external-link" target="_blank">documentación de Docker para formas de shell y exec</a>.

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>

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>

	--platform=linux/arm64,linux/amd64,linux/ppc64le \
	-f Dockerfile.release .

docker buildx prune -f

docker buildx build --push --no-cache \
	--build-arg RELEASE="${release}" \
	-t "minio/minio:${release}-cpuv1" \
	-t "quay.io/minio/minio:${release}-cpuv1" \
	--platform=linux/arm64,linux/amd64,linux/ppc64le \
	-f Dockerfile.release.old_cpu .

docker buildx prune -f

  # environment:
    # MINIO_ROOT_USER: minioadmin
    # MINIO_ROOT_PASSWORD: minioadmin
  healthcheck:
    test: ["CMD", "mc", "ready", "local"]
    interval: 5s
    timeout: 5s
    retries: 5

# starts 4 docker containers running minio server instances.
# using nginx reverse proxy, load balancing, you can access
# it through port 9000.
services:
  minio1:
    <<: *minio-common
    hostname: minio1
    volumes:

  expose:
    - "9000"
    - "9001"
  environment:
    MINIO_CI_CD: 1
  healthcheck:
    test: ["CMD", "mc", "ready", "local"]
    interval: 5s
    timeout: 5s
    retries: 5

# starts 4 docker containers running minio server instances.
# using nginx reverse proxy, load balancing, you can access
# it through port 9000.
services:
  minio1:
    <<: *minio-common
    hostname: minio1
    volumes:

x-minio-common: &minio-common
  image: quay.io/minio/minio:${RELEASE}
  command: server http://site2-minio{1...4}/data{1...2}
  environment:
    - MINIO_PROMETHEUS_AUTH_TYPE=public
    - CI=true

# starts 4 docker containers running minio server instances.
# using nginx reverse proxy, load balancing, you can access
# it through port 9000.
services:
  site2-minio1:
    <<: *minio-common
    hostname: site2-minio1
    volumes:

x-minio-common: &minio-common
  image: quay.io/minio/minio:${RELEASE}
  command: server http://site1-minio{1...4}/data{1...2}
  environment:
    - MINIO_PROMETHEUS_AUTH_TYPE=public
    - CI=true

# starts 4 docker containers running minio server instances.
# using nginx reverse proxy, load balancing, you can access
# it through port 9000.
services:
  site1-minio1:
    <<: *minio-common
    hostname: site1-minio1
    volumes:

ics-vidhya/deploy-machine-learning-models-with-keras-fastapi-redis-and-docker-4940df614ece title: Deploy Machine Learning Models with Keras, FastAPI, Redis and Docker - author: Mandy Gu author_link: https://towardsdatascience.com/@mandygu link: https://towardsdatascience.com/deploying-iris-classifications-with-fastapi-and-docker-7c9b83fdec3a title: 'Towards Data Science: Deploying Iris Classifications with FastAPI and Docker' - author: Michael Herman author_link: https://testdriven.io/authors/herman...