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  1. docs/metrics/prometheus/README.md

      static_configs:
      - targets: ['localhost:9000']
    ```
    
    ##### 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
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  2. docs/metrics/prometheus/grafana/README.md

    ![Grafana](https://raw.githubusercontent.com/minio/minio/master/docs/metrics/prometheus/grafana/node/grafana-node.png)
    
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  3. docs/distributed/CONFIG.md

        passive-port-range: "30000-40000"
      sftp: # settings for MinIO to act as an sftp server
        address: ":8022"
        ssh-private-key: "/home/user/.ssh/id_rsa"
    ```
    
    If you are using the config `v1` YAML you should migrate your `pools:` field values to the following format
    
    `v1` format
    ```yaml
    pools: # Specify the nodes and drives with pools
      -
        - "https://server-example-pool1:9000/mnt/disk{1...4}/"
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  4. docs/compression/README.md

    which is a fitness factor for a lossless data compression.
    
    Pre-compressed input typically compresses in excess of 2GiB/s per core,
    so performance impact should be minimal even if precompressed data is re-compressed.
    Decompressing incompressible data has no significant performance impact.
    
    Below is a list of common files and content-types which are typically not suitable for compression.
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  5. CREDITS

        You should have received a copy of the GNU Affero General Public License
        along with this program.  If not, see <https://www.gnu.org/licenses/>.
    
    Also add information on how to contact you by electronic and paper mail.
    
      If your software can interact with users remotely through a computer
    network, you should also make sure that it provides a way for users to
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