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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
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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
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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
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docs/zh/docs/deployment/server-workers.md
[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 [19515] [INFO] Booting worker with pid: 19515
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docs/en/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
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docs/ja/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
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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**
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docs/config/README.md
Each node is responsible of healing its local drives; Each drive will have multiple heal workers which is the quarter of the number of CPU cores of the node or the quarter of the configured nr_requests of the drive (https://www.kernel.org/doc/Documentation/block/queue-sysfs.txt). It is also possible to provide a custom number of workers by using this command: `mc admin config set alias/ heal drive_workers=100` . ``` ~ mc admin config set alias/ heal KEY:
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.teamcity/src/main/kotlin/model/FunctionalTestBucketGenerator.kt
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docs/pt/docs/project-generation.md
* Modelos **SQLAlchemy** (independente de extensões Flask, para que eles possam ser usados com _workers_ Celery diretamente). * Modelos básicos para usuários (modifique e remova conforme suas necessidades). * Migrações **Alembic**. * **CORS** (_Cross Origin Resource Sharing_ - Compartilhamento de Recursos Entre Origens). * _Worker_ **Celery** que pode importar e usar modelos e códigos do resto do _backend_ seletivamente.
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