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  1. architecture/ambient/ztunnel.md

      * In Istio sidecars, historically we had a lot of client-specific xDS. For example, putting the xDS-client's IP back into the xDS response. This makes efficient control plane implementation (most notably, caching), extremely challenging.
      * In practice, this largely means that references are fully qualified in the API. IP Addresses (generally) have a network associated with them, node names have a cluster associated with them, etc.
    
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  2. docs/en/docs/fastapi-cli.md

    By default it will listen on the IP address `127.0.0.1`, which is the IP for your machine to communicate with itself alone (`localhost`).
    
    ## `fastapi run`
    
    When you run `fastapi run`, it will run on production mode by default.
    
    It will have **auto-reload disabled** by default.
    
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  3. 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**.
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  4. istioctl/pkg/writer/ztunnel/configdump/testdata/workloadsummary_default.txt

    NAMESPACE POD NAME                       IP          NODE            WAYPOINT PROTOCOL
    default   details-v1-698d88b-krdw7       10.244.2.55 ambient-worker2 None     HBONE
    default   httpbin-7447985f87-t8hv7       10.244.1.40 ambient-worker  None     TCP
    default   productpage-v1-675fc69cf-kkrm2 10.244.2.56 ambient-worker2 None     HBONE
    default   ratings-v1-6484c4d9bb-8xc2r    10.244.2.57 ambient-worker2 None     HBONE
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  5. docs/ru/docs/deployment/concepts.md

    Вот некоторые возможные комбинации и стратегии:
    
    * **Gunicorn** управляющий **воркерами Uvicorn**
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  6. docs/zh/docs/deployment/server-workers.md

    * `--worker-class`:在worker进程中使用的与 Gunicorn 兼容的工作类。
         * 这里我们传递了 Gunicorn 可以导入和使用的类:
    
             ```Python
             import uvicorn.workers.UvicornWorker
             ```
    
    * `--bind`:这告诉 Gunicorn 要监听的 IP 和端口,使用冒号 (`:`) 分隔 IP 和端口。
         * 如果您直接运行 Uvicorn,则可以使用`--host 0.0.0.0`和`--port 80`,而不是`--bind 0.0.0.0:80`(Gunicorn 选项)。
    
    
    在输出中,您可以看到它显示了每个进程的 **PID**(进程 ID)(它只是一个数字)。
    
    你可以看到:
    
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  7. docs/zh/docs/deployment/concepts.md

    可以通过多种方法来实现这一目标,我将在接下来的章节中向您详细介绍具体策略,例如在谈论 Docker 和容器时。
    
    要考虑的主要限制是必须有一个**单个**组件来处理**公共IP**中的**端口**。 然后它必须有一种方法将通信**传输**到复制的**进程/worker**。
    
    以下是一些可能的组合和策略:
    
    * **Gunicorn** 管理 **Uvicorn workers**
         * Gunicorn 将是监听 **IP** 和 **端口** 的 **进程管理器**,复制将通过 **多个 Uvicorn 工作进程** 进行
    * **Uvicorn** 管理 **Uvicorn workers**
         * 一个 Uvicorn **进程管理器** 将监听 **IP** 和 **端口**,并且它将启动 **多个 Uvicorn 工作进程**
    * **Kubernetes** 和其他分布式 **容器系统**
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  8. okhttp/src/main/kotlin/okhttp3/Dispatcher.kt

        }
    
      /**
       * The maximum number of requests for each host to execute concurrently. This limits requests by
       * the URL's host name. Note that concurrent requests to a single IP address may still exceed this
       * limit: multiple hostnames may share an IP address or be routed through the same HTTP proxy.
       *
       * If more than [maxRequestsPerHost] requests are in flight when this is invoked, those requests
       * will remain in flight.
       *
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  9. docs/en/docs/deployment/server-workers.md

        * Here we pass the class that Gunicorn can import and use with:
    
            ```Python
            import uvicorn.workers.UvicornWorker
            ```
    
    * `--bind`: This tells Gunicorn the IP and the port to listen to, using a colon (`:`) to separate the IP and the port.
        * If you were running Uvicorn directly, instead of `--bind 0.0.0.0:80` (the Gunicorn option) you would use `--host 0.0.0.0` and `--port 80`.
    
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  10. cni/README.md

    ## Reference
    
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