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docs/em/docs/deployment/docker.md
👉 🖼 🔜 ⚠ ✴️ ⚠ 🔬 🔛: [📦 ⏮️ 💗 🛠️ & 🎁 💼](#_18). * <a href="https://github.com/tiangolo/uvicorn-gunicorn-fastapi-docker" class="external-link" target="_blank">tiangolo/uvicorn-🐁-fastapi</a>. !!! warning 📤 ↕ 🤞 👈 👆 **🚫** 💪 👉 🧢 🖼 ⚖️ 🙆 🎏 🎏 1️⃣, & 🔜 👻 📆 🏗 🖼 ⚪️➡️ 🖌 [🔬 🔛: 🏗 ☁ 🖼 FastAPI](#fastapi). 👉 🖼 ✔️ **🚘-📳** 🛠️ 🔌 ⚒ **🔢 👨🏭 🛠️** ⚓️ 🔛 💽 🐚 💪.
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docs/ja/docs/deployment/docker.md
* <a href="https://github.com/tiangolo/uvicorn-gunicorn-fastapi-docker" class="external-link" target="_blank">tiangolo/uvicorn-gunicorn-fastapi</a>. !!! warning このベースイメージや類似のイメージは**必要ない**可能性が高いので、[上記の: FastAPI用のDockerイメージをビルドする(Build a Docker Image for FastAPI)](#build-a-docker-image-for-fastapi)のようにゼロからイメージをビルドする方が良いでしょう。
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docs/en/docs/deployment/docker.md
If your application is **simple**, this will probably **not be a problem**, and you might not need to specify hard memory limits. But if you are **using a lot of memory** (for example with **machine learning** models), you should check how much memory you are consuming and adjust the **number of containers** that runs in **each machine** (and maybe add more machines to your cluster).
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docs/ru/docs/deployment/docker.md
* <a href="https://github.com/tiangolo/uvicorn-gunicorn-fastapi-docker" class="external-link" target="_blank">tiangolo/uvicorn-gunicorn-fastapi</a>. !!! warning "Предупреждение" Скорее всего у вас **нет необходимости** в использовании этого образа или подобного ему и лучше создать свой образ с нуля как описано тут: [Создать Docker-образ для FastAPI](#docker-fastapi).
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docs/de/docs/deployment/docker.md
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docs/pt/docs/deployment/docker.md
* <a href="https://github.com/tiangolo/uvicorn-gunicorn-fastapi-docker" class="external-link" target="_blank">tiangolo/uvicorn-gunicorn-fastapi</a>. !!! warning
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