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        "w": 6,
        "x": 0,
        "y": 0
      },
      "id": 55,
      "options": {
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          "calcs": [],
          "displayMode": "list",
          "placement": "bottom",
          "showLegend": true
        },
        "tooltip": {
          "mode": "multi",
          "sort": "none"
        }
      },
      "pluginVersion": "10.4.0",
      "targets": [

      },
      "id": 50,
      "interval": "1m",
      "maxDataPoints": 100,
      "options": {
        "displayLabels": [],
        "legend": {
          "displayMode": "table",
          "placement": "bottom",
          "showLegend": true,
          "values": [
            "percent"
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        },
        "pieType": "donut",
        "reduceOptions": {
          "calcs": [

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      "id": 57,
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      "pluginVersion": "10.4.0",
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	diskFillFraction = 0.99

	// diskReserveFraction is the fraction of a disk where we will fill other server pools first.
	// If all pools reach this, we will use all pools with regular placement.
	diskReserveFraction = 0.15

	// diskAssumeUnknownSize is the size to assume when an unknown size upload is requested.
	diskAssumeUnknownSize = 1 << 30

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        "w": 6,
        "x": 12,
        "y": 6
      },
      "id": 60,
      "options": {
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          "calcs": [],
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}

// This optional functionality allows vendors to report space information to Veeam products, and Veeam will make placement
// decisions based on this information. For example, Veeam Backup & Replication has a Scale-out-Backup-Repository feature where
// multiple buckets can be used together. The placement logic for additional backup files is based on available space. Other values

			Optional:    true,
			Type:        "int",
		},
		config.HelpKV{
			Key:         DriveWorkers,
			Description: `the number of workers per drive to heal a new disk replacement` + defaultHelpPostfix(DriveWorkers),
			Optional:    true,
			Type:        "int",
		},
	}

max_io         (int)       maximum IO requests allowed between objects to slow down heal operation. eg. 3
drive_workers  (int)       the number of workers per drive to heal a new disk replacement.
```

one object at a time. For RAID, healing can be done only at the volume level which translates into high downtime. As MinIO encodes each object individually, it can heal objects incrementally. Storage servers once deployed should not require drive replacement or healing for the lifetime of the server. MinIO's erasure coded backend is designed for operational efficiency and takes full advantage of hardware acceleration whenever available.

![Erasure](https://github.com/minio/minio/blob/master...