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fastapi/openapi/docs.py
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docs/en/docs/deployment/concepts.md
And if your remote server or virtual machine only has 3 GB of RAM, trying to load more than 4 GB of RAM will cause problems. 🚨 ### Multiple Processes - An Example In this example, there's a **Manager Process** that starts and controls two **Worker Processes**.
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docs/pt/docs/deployment.md
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docs/en/docs/deployment/docker.md
As this component would take the **load** of requests and distribute that among the workers in a (hopefully) **balanced** way, it is also commonly called a **Load Balancer**. !!! tip The same **TLS Termination Proxy** component used for HTTPS would probably also be a **Load Balancer**.
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docs/de/docs/deployment/docker.md
### Ein Load Balancer – mehrere Workercontainer
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scripts/docs.py
@lru_cache def is_mkdocs_insiders() -> bool: version = metadata.version("mkdocs-material") return "insiders" in version def get_en_config() -> Dict[str, Any]: return mkdocs.utils.yaml_load(en_config_path.read_text(encoding="utf-8")) def get_lang_paths() -> List[Path]: return sorted(docs_path.iterdir()) def lang_callback(lang: Optional[str]) -> Union[str, None]: if lang is None:
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docs/pt/docs/deployment/docker.md
├── app │  ├── __init__.py │ └── main.py ├── Dockerfile └── requirements.txt ``` #### Por Trás de um Proxy de Terminação TLS Se você está executando seu contêiner atrás de um Proxy de Terminação TLS (load balancer) como Nginx ou Traefik, adicione a opção `--proxy-headers`, isso fará com que o Uvicorn confie nos cabeçalhos enviados por esse proxy, informando que o aplicativo está sendo executado atrás do HTTPS, etc. ```Dockerfile
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