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docs/pt/docs/deployment/docker.md
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>
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docs/en/docs/deployment/docker.md
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).
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docs/de/docs/deployment/docker.md
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>
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docs/orchestration/docker-compose/README.md
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ci/official/README.md
# 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. #
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docs/tr/docs/project-generation.md
### 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.
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docs/ru/docs/project-generation.md
### 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.
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istioctl/pkg/kubeinject/testdata/deployment/hello-with-proxyconfig-anno.yaml.injected
track: stable spec: containers: - image: docker.io/istio/proxy_debug:unittest name: istio-proxy resources: {} - image: fake.docker.io/google-samples/hello-go-gke:1.0 name: hello ports: - containerPort: 80 name: http resources: {} initContainers: - image: docker.io/istio/proxy_init:unittest-test name: istio-init
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Makefile
# environment. This is needed to allow overrides from Makefile.overrides.mk. export RUN = ./common/scripts/run.sh MAKE_DOCKER = $(RUN) make --no-print-directory -e -f Makefile.core.mk %: @$(MAKE_DOCKER) $@ default: @$(MAKE_DOCKER) shell: @$(RUN) /bin/bash .PHONY: default shell else
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docs/ja/docs/project-generation.md
### フルスタック FastAPI PostgreSQL - 機能 * 完全な**Docker**インテグレーション (Dockerベース)。 * Docker Swarm モードデプロイ。 * ローカル開発環境向けの**Docker Compose**インテグレーションと最適化。 * UvicornとGunicornを使用した**リリース可能な** Python web サーバ。 * Python <a href="https://github.com/tiangolo/fastapi" class="external-link" target="_blank">**FastAPI**</a> バックエンド:
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