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  1. docs/pt/docs/async.md

    Esse tipo de assincronicidade é o que fez NodeJS popular (embora NodeJS não seja paralelo) e que essa seja a força do Go como uma linguagem de programa.
    
    E esse é o mesmo nível de performance que você tem com o **FastAPI**.
    
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  2. docs/fr/docs/async.md

    Ce type d'asynchronicité est ce qui a rendu NodeJS populaire (bien que NodeJS ne soit pas parallèle) et c'est la force du Go en tant que langage de programmation.
    
    Et c'est le même niveau de performance que celui obtenu avec **FastAPI**.
    
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  3. docs/throttle/README.md

    Example: Limit a MinIO cluster to accept at max 1600 simultaneous S3 API requests across all nodes of the cluster.
    
    ```sh
    export MINIO_API_REQUESTS_MAX=1600
    export MINIO_ROOT_USER=your-access-key
    export MINIO_ROOT_PASSWORD=your-secret-key
    minio server http://server{1...8}/mnt/hdd{1...16}
    ```
    
    or
    
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  4. docs/ja/docs/async.md

    しかし、WebSocketのサポートを追加するために、非同期Web Python (ASGI) の主な仕様はDjangoで開発されました。
    
    そのような非同期性がNodeJSを人気にした理由です (NodeJSは並列ではありませんが)。そして、プログラミング言語としてのGoの強みでもあります。
    
    そして、それは**FastAPI**で得られるパフォーマンスと同じレベルです。
    
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  5. CHANGELOG/CHANGELOG-1.15.md

    ### CLI Improvements
    
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  6. CHANGELOG/CHANGELOG-1.6.md

    [kubernetes-node-linux-arm.tar.gz](https://dl.k8s.io/v1.6.13/kubernetes-node-linux-arm.tar.gz) | `9d0433621021bca490e8a04eb96e47402d3f8e3d47762590b83be6a595d29b16`
    [kubernetes-node-linux-ppc64le.tar.gz](https://dl.k8s.io/v1.6.13/kubernetes-node-linux-ppc64le.tar.gz) | `438f0e05d29e371c028e73b28c31e3b13dc1decd0780557e0231d96de871b419`
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  7. CHANGELOG/CHANGELOG-1.30.md

    ### Node Binaries
    
    filename | sha512 hash
    -------- | -----------
    [kubernetes-node-linux-amd64.tar.gz](https://dl.k8s.io/v1.30.0/kubernetes-node-linux-amd64.tar.gz) | `e3e8f443a5397029a26a30852f47a9406dc17622638a7b03d37b384283880503af85d134d2a5dfdcfd7a0a5cb11eef8312b37dec77c90062e29d7e0ea1da6026`
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  8. docs/metrics/prometheus/README.md

    ```
    
    ##### Node (optional)
    
    Optionally you can also collect per node metrics. This needs to be done on a per server instance.
    The scrape configurations should use all the servers under `targets` so that graphing systems like
    grafana can visualize them for all the nodes
    
    ```yaml
    scrape_configs:
    - job_name: minio-job
      metrics_path: /minio/v2/metrics/node
      scheme: http
      static_configs:
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  9. docs/de/docs/features.md

    * Schwer beeindruckende Performanz. Es ist <a href="https://github.com/encode/starlette#performance" class="external-link" target="_blank">eines der schnellsten Python-Frameworks, auf Augenhöhe mit **NodeJS** und **Go**</a>.
    * **WebSocket**-Unterstützung.
    * Hintergrundaufgaben im selben Prozess.
    * Ereignisse beim Starten und Herunterfahren.
    * Testclient baut auf HTTPX auf.
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  10. helm/minio/README.md

    ```bash
    helm install --set persistence.enabled=false minio/minio
    ```
    
    > *"An emptyDir volume is first created when a Pod is assigned to a Node, and exists as long as that Pod is running on that node. When a Pod is removed from a node for any reason, the data in the emptyDir is deleted forever."*
    
    ### Existing PersistentVolumeClaim
    
    If a Persistent Volume Claim already exists, specify it during installation.
    
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