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  1. cni/README.md

    #### From a specific node syslog
    
    The CNI plugins are executed by threads in the `kubelet` process.  The CNI plugins logs end up the syslog
    under the `kubelet` process. On systems with `journalctl` the following is an example command line
    to view the last 1000 `kubelet` logs via the `less` utility to allow for `vi`-style searching:
    
    ```console
    $ journalctl -t kubelet -n 1000 | less
    ```
    
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  2. docs/config/README.md

    ```
    
    This behavior is consistent across all keys; each key self-documents itself with valid examples.
    
    ## Dynamic systems without restarting server
    
    The following sub-systems are dynamic i.e., configuration parameters for each sub-systems can be changed while the server is running without any restarts.
    
    ```
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  3. 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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  4. docs/multi-tenancy/README.md

    ```
    
    **Note:** Execute the commands on all 4 nodes.
    
    ![Example-3](https://github.com/minio/minio/blob/master/docs/screenshots/Example-3.jpg?raw=true)
    
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  5. docs/compression/README.md

    This means that in cases where raw IO is below these numbers
    compression will not only reduce disk usage but also help increase system throughput.
    Typically, enabling compression on spinning disk systems
    will increase speed when the content can be compressed.
    
    ## Get Started
    
    ### 1. Prerequisites
    
    Install MinIO - [MinIO Quickstart Guide](https://min.io/docs/minio/linux/index.html#quickstart-for-linux).
    
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  6. README.md

        * All this would also work for deeply nested JSON objects.
    * Convert from and to JSON automatically.
    * Document everything with OpenAPI, that can be used by:
        * Interactive documentation systems.
        * Automatic client code generation systems, for many languages.
    * Provide 2 interactive documentation web interfaces directly.
    
    ---
    
    We just scratched the surface, but you already get the idea of how it all works.
    
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