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  1. docs/erasure/README.md

    In 12 drive example above, with MinIO server running in the default configuration, you can lose any of the six drives and still reconstruct the data reliably from the remaining drives.
    
    ## Why is Erasure Code useful?
    
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  2. docs/batch-jobs/README.md

    MinIO batch jobs framework also provides
    
    - Retrying a failed job automatically driven by user input
    - Monitoring job progress in real-time
    - Send notifications upon completion or failure to user configured target
    
    Following YAML describes the structure of a replication job, each value is documented and self-describing.
    
    ```yaml
    replicate:
      apiVersion: v1
      # source of the objects to be replicated
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  3. docs/bucket/replication/README.md

    `PENDING` to `COMPLETED` or `FAILED` after replication attempt either succeeded or failed respectively. On the destination side, a `X-Amz-Replication-Status` status of `REPLICA` indicates that the object was replicated successfully. Any replication failures are automatically re-attempted during a periodic disk scanner cycle.
    
    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...
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  4. docs/distributed/README.md

    MinIO in distributed mode lets you pool multiple drives (even on different machines) into a single object storage server. As drives are distributed across several nodes, distributed MinIO can withstand multiple node failures and yet ensure full data protection.
    
    ## Why distributed MinIO?
    
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  5. docs/debugging/README.md

    Example:
    
    ```sh
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