- Sort Score
- Result 10 results
- Languages All
Results 1 - 10 of 44 for Corkery (0.15 sec)
-
docs/ko/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
Plain Text - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Apr 18 19:53:19 GMT 2024 - 10.2K bytes - Viewed (0) -
docs/de/docs/project-generation.md
* **JWT-Token**-Authentifizierung. * **SQLAlchemy**-Modelle (unabhängig von Flask-Erweiterungen, sodass sie direkt mit Celery-Workern verwendet werden können). * Grundlegende Startmodelle für Benutzer (ändern und entfernen Sie nach Bedarf). * **Alembic**-Migrationen. * **CORS** (Cross Origin Resource Sharing). * **Celery**-Worker, welche Modelle und Code aus dem Rest des Backends selektiv importieren und verwenden können.
Plain Text - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Sat Mar 30 18:14:36 GMT 2024 - 6.5K bytes - Viewed (0) -
docs/en/docs/deployment/manually.md
```console $ pip install "hypercorn[trio]" ---> 100% ``` </div> ### Run with Trio Then you can pass the command line option `--worker-class` with the value `trio`: <div class="termy"> ```console $ hypercorn main:app --worker-class trio ``` </div> And that will start Hypercorn with your app using Trio as the backend.
Plain Text - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu May 02 22:37:31 GMT 2024 - 9.2K bytes - Viewed (0) -
docs/ru/docs/deployment/concepts.md
Но часто Вам может понадобиться несколько одновременно работающих одинаковых процессов. ### Множество процессов - Воркеры (Workers)
Plain Text - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Apr 18 19:53:19 GMT 2024 - 32.5K bytes - Viewed (0) -
docs/ja/docs/deployment/concepts.md
しかし、多くの場合、複数のワーカー・プロセスを同時に実行したいと考えるでしょう。 ### 複数のプロセス - Worker クライアントの数が単一のプロセスで処理できる数を超えており(たとえば仮想マシンがそれほど大きくない場合)、かつサーバーの CPU に**複数のコア**がある場合、同じアプリケーションで同時に**複数のプロセス**を実行させ、すべてのリクエストを分散させることができます。 同じAPIプログラムの**複数のプロセス**を実行する場合、それらは一般的に**Worker/ワーカー**と呼ばれます。 ### ワーカー・プロセス と ポート <!-- NOTE: https.md written in Japanese does not exist, so it redirects to English one -->
Plain Text - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Apr 18 19:53:19 GMT 2024 - 24.1K bytes - Viewed (0) -
docs/ru/docs/deployment/docker.md
Я подготовил для вас Docker-образ, в который включён Gunicorn управляющий процессами (воркерами) Uvicorn, в соответствии с концепциями рассмотренными в предыдущей главе: [Рабочие процессы сервера (воркеры) - Gunicorn совместно с Uvicorn](server-workers.md){.internal-link target=_blank}. Этот образ может быть полезен для ситуаций описанных тут: [Множество процессов внутри контейнера для особых случаев](#_11).
Plain Text - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Apr 18 19:53:19 GMT 2024 - 57.5K bytes - Viewed (0) -
docs/en/docs/deployment/concepts.md
Here are some possible combinations and strategies: * **Gunicorn** managing **Uvicorn workers** * Gunicorn would be the **process manager** listening on the **IP** and **port**, the replication would be by having **multiple Uvicorn worker processes**. * **Uvicorn** managing **Uvicorn workers**
Plain Text - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu May 02 22:37:31 GMT 2024 - 18K bytes - Viewed (0) -
docs/pt/docs/deployment.md
Tenha certeza de ajustar o número de _workers_ etc.
Plain Text - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Aug 18 16:16:54 GMT 2022 - 16.8K bytes - Viewed (0) -
docs/hu/docs/index.md
<img src="https://github.com/tiangolo/fastapi/workflows/Test/badge.svg?event=push&branch=master" alt="Test"> </a> <a href="https://coverage-badge.samuelcolvin.workers.dev/redirect/tiangolo/fastapi" target="_blank"> <img src="https://coverage-badge.samuelcolvin.workers.dev/tiangolo/fastapi.svg" alt="Coverage"> </a> <a href="https://pypi.org/project/fastapi" target="_blank">
Plain Text - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Mon Apr 29 05:18:04 GMT 2024 - 20.2K bytes - Viewed (0) -
docs/de/docs/deployment/server-workers.md
## Gunicorn mit Uvicorn-Workern ausführen Dann können Sie Gunicorn ausführen mit: <div class="termy"> ```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
Plain Text - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Sat Mar 30 18:19:25 GMT 2024 - 10.1K bytes - Viewed (0)