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docs/em/docs/deployment/server-workers.md
```console $ gunicorn main:app --workers 4 --worker-class uvicorn.workers.UvicornWorker --bind 0.0.0.0:80 [19499] [INFO] Starting gunicorn 20.1.0 [19499] [INFO] Listening at: http://0.0.0.0:80 (19499) [19499] [INFO] Using worker: uvicorn.workers.UvicornWorker [19511] [INFO] Booting worker with pid: 19511 [19513] [INFO] Booting worker with pid: 19513 [19514] [INFO] Booting worker with pid: 19514
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Tue Aug 06 04:48:30 UTC 2024 - 8.2K bytes - Viewed (0) -
docs/es/docs/deployment/server-workers.md
/// ## Múltiples Workers Puedes iniciar múltiples workers con la opción de línea de comando `--workers`: //// tab | `fastapi` Si usas el comando `fastapi`: <div class="termy"> ```console
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docs/en/docs/deployment/server-workers.md
/// ## Multiple Workers { #multiple-workers } You can start multiple workers with the `--workers` command line option: //// tab | `fastapi` If you use the `fastapi` command: <div class="termy"> ```console
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docs/es/llm-prompt.md
* mount (verb): montar * statement (as in code statement): statement (do not translate to "declaración" or "sentencia") * worker process: worker process (do not translate to "proceso trabajador" or "proceso de trabajo") * worker processes: worker processes (do not translate to "procesos trabajadores" or "procesos de trabajo") * worker: worker (do not translate to "trabajador") * load balancer: load balancer (do not translate to "balanceador de carga")
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docs/ru/docs/deployment/manually.md
```console $ pip install "hypercorn[trio]" ---> 100% ``` </div> ### Запуск с Trio Далее запустите Hypercorn с опцией `--worker-class` и аргументом `trio`: <div class="termy"> ```console $ hypercorn main:app --worker-class trio ``` </div> Hypercorn, в свою очередь, запустит ваше приложение использующее Trio.
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docs/em/docs/deployment/manually.md
<div class="termy"> ```console $ pip install "hypercorn[trio]" ---> 100% ``` </div> ### 🏃 ⏮️ 🎻 ⤴️ 👆 💪 🚶♀️ 📋 ⏸ 🎛 `--worker-class` ⏮️ 💲 `trio`: <div class="termy"> ```console $ hypercorn main:app --worker-class trio ``` </div> & 👈 🔜 ▶️ Hypercorn ⏮️ 👆 📱 ⚙️ 🎻 👩💻. 🔜 👆 💪 ⚙️ 🎻 🔘 👆 📱. ⚖️ 👍, 👆 💪 ⚙️ AnyIO, 🚧 👆 📟 🔗 ⏮️ 👯♂️ 🎻 & ✳. 👶
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docs/fr/docs/deployment/manually.md
```console $ pip install "hypercorn[trio]" ---> 100% ``` </div> ### Exécuter avec Trio Ensuite, vous pouvez passer l'option de ligne de commande `--worker-class` avec la valeur `trio` : <div class="termy"> ```console $ hypercorn main:app --worker-class trio ``` </div> Et cela démarrera Hypercorn avec votre application en utilisant Trio comme backend.
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docs/de/docs/deployment/manually.md
```console $ pip install "hypercorn[trio]" ---> 100% ``` </div> ### Mit Trio ausführen Dann können Sie die Befehlszeilenoption `--worker-class` mit dem Wert `trio` übergeben: <div class="termy"> ```console $ hypercorn main:app --worker-class trio ``` </div> Und das startet Hypercorn mit Ihrer Anwendung und verwendet Trio als Backend.
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docs/de/docs/project-generation.md
### Full Stack FastAPI PostgreSQL – Funktionen * Vollständige **Docker**-Integration (Docker-basiert). * Docker-Schwarmmodus-Deployment. * **Docker Compose**-Integration und Optimierung für die lokale Entwicklung. * **Produktionsbereit** Python-Webserver, verwendet Uvicorn und Gunicorn.
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docs/fr/docs/project-generation.md
### Full Stack FastAPI PostgreSQL - Fonctionnalités * Intégration **Docker** complète (basée sur Docker). * Déploiement Docker en mode <a href="https://docs.docker.com/engine/swarm/" class="external-link" target="_blank">Swarm</a> * Intégration **Docker Compose** et optimisation pour développement local. * Serveur web Python **prêt au déploiement** utilisant Uvicorn et Gunicorn.
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