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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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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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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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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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docs/debugging/README.md
Example: ```sh
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