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  1. docs/en/docs/deployment/index.md

    ## Deployment Strategies
    
    There are several ways to do it depending on your specific use case and the tools that you use.
    
    You could **deploy a server** yourself using a combination of tools, you could use a **cloud service** that does part of the work for you, or other possible options.
    
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  2. docs/de/docs/advanced/testing-dependencies.md

    ### Anwendungsfälle: Externer Service
    
    Ein Beispiel könnte sein, dass Sie einen externen Authentifizierungsanbieter haben, mit dem Sie sich verbinden müssen.
    
    Sie senden ihm ein Token und er gibt einen authentifizierten Benutzer zurück.
    
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  3. fastapi/openapi/utils.py

        if summary:
            info["summary"] = summary
        if description:
            info["description"] = description
        if terms_of_service:
            info["termsOfService"] = terms_of_service
        if contact:
            info["contact"] = contact
        if license_info:
            info["license"] = license_info
        output: Dict[str, Any] = {"openapi": openapi_version, "info": info}
    Python
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  4. docs/en/data/sponsors.yml

        title: SDKs for your API | Speakeasy
        img: https://fastapi.tiangolo.com/img/sponsors/speakeasy.png
      - url: https://www.svix.com/
        title: Svix - Webhooks as a service
        img: https://fastapi.tiangolo.com/img/sponsors/svix.svg
      - url: https://www.codacy.com/?utm_source=github&utm_medium=sponsors&utm_id=pioneers
        title: Take code reviews from hours to minutes
    Others
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  5. docs/en/data/external_links.yml

        link: https://www.tutlinks.com/deploy-fastapi-on-azure/
        title: Deploy FastAPI on Azure App Service
      - author: Davide Fiocco
        author_link: https://github.com/davidefiocco
        link: https://davidefiocco.github.io/streamlit-fastapi-ml-serving/
        title: Machine learning model serving in Python using FastAPI and streamlit
      - author: Netflix
        author_link: https://netflixtechblog.com/
    Others
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  6. docs/em/docs/advanced/behind-a-proxy.md

      [http.routers]
    
        [http.routers.app-http]
          entryPoints = ["http"]
          service = "app"
          rule = "PathPrefix(`/api/v1`)"
          middlewares = ["api-stripprefix"]
    
      [http.services]
    
        [http.services.app]
          [http.services.app.loadBalancer]
            [[http.services.app.loadBalancer.servers]]
              url = "http://127.0.0.1:8000"
    ```
    
    👉 📁 🔗 Traefik ⚙️ ➡ 🔡 `/api/v1`.
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  7. docs/en/docs/deployment/cloud.md

    And it shows their true commitment to FastAPI and its **community** (you), as they not only want to provide you a **good service** but also want to make sure you have a **good and healthy framework**, FastAPI. 🙇
    
    You might want to try their services and follow their guides:
    
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  8. docs/de/docs/tutorial/metadata.md

    | `description` | `str` | Eine kurze Beschreibung der API. Kann Markdown verwenden. |
    | `version` | `string` | Die Version der API. Das ist die Version Ihrer eigenen Anwendung, nicht die von OpenAPI. Zum Beispiel `2.5.0`. |
    | `terms_of_service` | `str` | Eine URL zu den Nutzungsbedingungen für die API. Falls angegeben, muss es sich um eine URL handeln. |
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  9. docs/zh/docs/tutorial/metadata.md

    | `contact` | `dict` | 公开的 API 的联系信息。它可以包含多个字段。<details><summary><code>contact</code> 字段</summary><table><thead><tr><th>参数</th><th>Type</th><th>描述</th></tr></thead><tbody><tr><td><code>name</code></t...
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  10. docs/en/docs/deployment/docker.md

    Alternatively, HTTPS could be handled by a cloud provider as one of their services (while still running the application in a container).
    
    ## Running on Startup and Restarts
    
    There is normally another tool in charge of **starting and running** your container.
    
    It could be **Docker** directly, **Docker Compose**, **Kubernetes**, a **cloud service**, etc.
    
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