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  1. docs/ko/docs/deployment/server-workers.md

    * `--bind`: 구니콘이 관찰할 IP와 포트를 의미합니다. 콜론 (`:`)을 사용하여 IP와 포트를 구분합니다.
        * 만약에 `--bind 0.0.0.0:80` (구니콘 옵션) 대신 유비콘을 직접 실행하고 싶다면 `--host 0.0.0.0`과 `--port 80`을 사용해야 합니다.
    
    출력에서 각 프로세스에 대한 **PID** (process ID)를 확인할 수 있습니다. (단순한 숫자입니다)
    
    출력 내용:
    
    * 구니콘 **프로세스 매니저**는 PID `19499`로 실행됩니다. (직접 실행할 경우 숫자가 다를 수 있습니다)
    * 다음으로 `Listening at: http://0.0.0.0:80`을 시작합니다.
    * 그런 다음 사용해야할 `uvicorn.workers.UvicornWorker`의 워커클래스를 탐지합니다.
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  2. docs/pt/docs/deployment.md

        <div class="termy">
    
        ```console
        $ uvicorn main:app --host 0.0.0.0 --port 80
    
        <span style="color: green;">INFO</span>:     Uvicorn running on http://0.0.0.0:80 (Press CTRL+C to quit)
        ```
    
        </div>
    
    === "Hypercorn"
    
        <div class="termy">
    
        ```console
        $ hypercorn main:app --bind 0.0.0.0:80
    
        Running on 0.0.0.0:8080 over http (CTRL + C to quit)
        ```
    
        </div>
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  3. docs/ko/docs/deployment/docker.md

    RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
    
    COPY ./app /code/app
    
    CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80"]
    
    # If running behind a proxy like Nginx or Traefik add --proxy-headers
    # CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80", "--proxy-headers"]
    ```
    
    </details>
    
    ## 컨테이너란
    
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  4. docs/en/docs/advanced/behind-a-proxy.md

    [providers]
      [providers.file]
        filename = "routes.toml"
    ```
    
    This tells Traefik to listen on port 9999 and to use another file `routes.toml`.
    
    !!! tip
        We are using port 9999 instead of the standard HTTP port 80 so that you don't have to run it with admin (`sudo`) privileges.
    
    Now create that other file `routes.toml`:
    
    ```TOML hl_lines="5  12  20"
    [http]
      [http.middlewares]
    
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  5. docs/en/docs/img/deployment/https/https08.drawio

                        <mxGeometry x="710" y="-50" width="300" height="80" as="geometry"/>
                    </mxCell>
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  6. docs/de/docs/deployment/server-workers.md

    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
    [19513] [INFO] Booting worker with pid: 19513
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  7. docs/zh/docs/deployment/docker.md

    RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
    
    COPY ./app /code/app
    
    CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80"]
    
    # If running behind a proxy like Nginx or Traefik add --proxy-headers
    # CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80", "--proxy-headers"]
    ```
    
    </details>
    
    ## 什么是容器
    
    容器(主要是 Linux 容器)是一种非常**轻量级**的打包应用程序的方式,其包括所有依赖项和必要的文件,同时它们可以和同一系统中的其他容器(或者其他应用程序/组件)相互隔离。
    
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  8. docs/en/docs/img/deployment/https/https.drawio

                            <mxPoint x="-4.941176470588289" y="-139.99999999999955" as="targetPoint"/>
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                        </mxGeometry>
                    </mxCell>
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  9. docs/en/docs/img/deployment/https/https07.drawio

                        <mxGeometry x="710" y="-50" width="300" height="80" as="geometry"/>
                    </mxCell>
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  10. docs/en/docs/img/deployment/https/https05.drawio

                            <mxPoint x="-4.941176470588289" y="-139.99999999999955" as="targetPoint"/>
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                        </mxGeometry>
                    </mxCell>
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