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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/concepts.md
!!! tip "Tipp" Machen Sie sich keine Sorgen, wenn einige dieser Punkte zu **Containern**, Docker oder Kubernetes noch nicht viel Sinn ergeben. Ich werde Ihnen in einem zukünftigen Kapitel mehr über Container-Images, Docker, Kubernetes, usw. erzählen: [FastAPI in Containern – Docker](docker.md){.internal-link target=_blank}. ## Schritte vor dem Start
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.github/workflows/multipart/nginx-site1.conf
user nginx; worker_processes auto; error_log /var/log/nginx/error.log warn; pid /var/run/nginx.pid; events { worker_connections 4096; } http { include /etc/nginx/mime.types; default_type application/octet-stream; log_format main '$remote_addr - $remote_user [$time_local] "$request" ' '$status $body_bytes_sent "$http_referer" '
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docs/zh/docs/deployment/docker.md
下面一些什么时候这种做法有意义的示例: #### 一个简单的应用程序 如果你的应用程序**足够简单**,你不需要(至少现在不需要)过多地微调进程数量,并且你可以使用自动默认值,那么你可能需要容器中的进程管理器 (使用官方 Docker 镜像),并且你在**单个服务器**而不是集群上运行它。 #### Docker Compose 你可以使用 **Docker Compose** 部署到**单个服务器**(而不是集群),因此你没有一种简单的方法来管理容器的复制(使用 Docker Compose),同时保留共享网络和 **负载均衡**。
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.github/workflows/mint/nginx-1-node.conf
user nginx; worker_processes auto; error_log /var/log/nginx/error.log warn; pid /var/run/nginx.pid; events { worker_connections 4096; } http { include /etc/nginx/mime.types; default_type application/octet-stream; log_format main '$remote_addr - $remote_user [$time_local] "$request" ' '$status $body_bytes_sent "$http_referer" '
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.github/workflows/mint/nginx-8-node.conf
user nginx; worker_processes auto; error_log /var/log/nginx/error.log warn; pid /var/run/nginx.pid; events { worker_connections 4096; } http { include /etc/nginx/mime.types; default_type application/octet-stream; log_format main '$remote_addr - $remote_user [$time_local] "$request" ' '$status $body_bytes_sent "$http_referer" '
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.github/workflows/mint/nginx.conf
user nginx; worker_processes auto; error_log /var/log/nginx/error.log warn; pid /var/run/nginx.pid; events { worker_connections 4096; } http { include /etc/nginx/mime.types; default_type application/octet-stream; log_format main '$remote_addr - $remote_user [$time_local] "$request" ' '$status $body_bytes_sent "$http_referer" '
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.github/workflows/multipart/nginx-site2.conf
user nginx; worker_processes auto; error_log /var/log/nginx/error.log warn; pid /var/run/nginx.pid; events { worker_connections 4096; } http { include /etc/nginx/mime.types; default_type application/octet-stream; log_format main '$remote_addr - $remote_user [$time_local] "$request" ' '$status $body_bytes_sent "$http_referer" '
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docs/tr/docs/project-generation.md
* **SQLAlchemy** models (Flask dan bağımsızdır. Celery worker'ları ile kullanılabilir). * Kullanıcılar için temel başlangıç modeli (gerektiği gibi değiştirin ve kaldırın). * **Alembic** migration. * **CORS** (Cross Origin Resource Sharing). * **Celery** worker'ları ile backend içerisinden seçilen işleri çalıştırabilirsiniz.
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tensorflow/c/eager/immediate_execution_distributed_manager.h
bool clear_existing_contexts = false) = 0; // Initializes context for the local worker and no contexts will be created // for remote workers. Currently this only works for resetting context. // TODO(b/289445025): Consider removing this when we find a proper fix. virtual Status InitializeLocalOnlyContext(const ServerDef& server_def,
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