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  1. docs/throttle/README.md

    ```
    
    > NOTE: A zero value of `requests_max` means MinIO will automatically calculate requests based on available RAM size and that is the default behavior.
    
    ### Configuring connection (wait) deadline
    
    This value works in conjunction with max connection setting, setting this value allows for long waiting requests to quickly time out when there is no slot available to perform the request.
    
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  2. docs/metrics/prometheus/README.md

    ```sh
    tar xvfz prometheus-*.tar.gz
    cd prometheus-*
    ```
    
    Prometheus server is a single binary called `prometheus` (or `prometheus.exe` on Microsoft Windows). Run the binary and pass `--help` flag to see available options
    
    ```sh
    ./prometheus --help
    usage: prometheus [<flags>]
    
    The Prometheus monitoring server
    
    . . .
    ```
    
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  3. docs/config/README.md

    #### List all config keys available
    
    ```
    ~ mc admin config set myminio/
    ```
    
    #### Obtain help for each key
    
    ```
    ~ mc admin config set myminio/ <key>
    ```
    
    e.g: `mc admin config set myminio/ etcd` returns available `etcd` config args
    
    ```
    ~ mc admin config set play/ etcd
    KEY:
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  4. helm/minio/README.md

    helm install --name my-release -f values.yaml minio/minio
    ```
    
    ### Persistence
    
    This chart provisions a PersistentVolumeClaim and mounts corresponding persistent volume to default location `/export`. You'll need physical storage available in the Kubernetes cluster for this to work. If you'd rather use `emptyDir`, disable PersistentVolumeClaim by:
    
    ```bash
    helm install --set persistence.enabled=false minio/minio
    ```
    
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  5. docs/metrics/README.md

    MinIO server has two healthcheck related un-authenticated endpoints, a liveness probe to indicate if server is responding, cluster probe to check if server can be taken down for maintenance.
    
    - Liveness probe available at `/minio/health/live`
    - Cluster probe available at `/minio/health/cluster`
    
    Read more on how to use these endpoints in [MinIO healthcheck guide](https://github.com/minio/minio/blob/master/docs/metrics/healthcheck/README.md).
    
    ## Prometheus Probe
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  6. docs/bigdata/README.md

    ```
    
    The command should produce an output as shown below. (with additional status messages):
    
    ```
    Spark context Web UI available at http://172.26.236.247:4041
    Spark context available as 'sc' (master = yarn, app id = application_1490217230866_0002).
    Spark session available as 'spark'.
    Welcome to
    
    
          ____              __
         / __/__  ___ _____/ /__
        _\ \/ _ \/ _ `/ __/  '_/
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  7. operator/README.md

    dependencies to have the needed CRDs available:
    
    ```bash
    istioctl install
    ```
    
    #### Review the values of a configuration profile
    
    The following commands show the values of a configuration profile:
    
    ```bash
    # show available profiles
    istioctl profile list
    
    # show the values in demo profile
    istioctl profile dump demo
    
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  8. README.md

    ## Snapshots and Documentation
    
    Snapshots of Guava built from the `master` branch are available through Maven
    using version `HEAD-jre-SNAPSHOT`, or `HEAD-android-SNAPSHOT` for the Android
    flavor.
    
    -   Snapshot API Docs: [guava][guava-snapshot-api-docs]
    -   Snapshot API Diffs: [guava][guava-snapshot-api-diffs]
    
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  9. docs/bucket/replication/README.md

    To perform bi-directional replication, repeat the above process on the target site - this time setting the source bucket as the replication target. It is recommended that replication be run in a system with at least two CPU's available to the process, so that replication can run in its own thread.
    
    ![put](https://raw.githubusercontent.com/minio/minio/master/docs/bucket/replication/PUT_bucket_replication.png)
    
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  10. README.md

    [Device plugins](https://www.tensorflow.org/install/gpu_plugins#available_devices).
    
    A smaller CPU-only package is also available:
    
    ```
    $ pip install tensorflow-cpu
    ```
    
    To update TensorFlow to the latest version, add `--upgrade` flag to the above
    commands.
    
    *Nightly binaries are available for testing using the
    [tf-nightly](https://pypi.python.org/pypi/tf-nightly) and
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