usage ratio_ is simply the drive space used by the file after erasure-encoding, divided by actual file size.

| Total Drives (N) | Data Drives (D) | Parity Drives (P) | Storage Usage Ratio |
|------------------|-----------------|-------------------|---------------------|
|               16 |               8 |                 8 |                2.00 |

				if v.N > 0 {
					di.Metrics.LastMinute[k] = v.asTimedAction()
				}
			}
			for k, v := range info.Metrics.APICalls {
				di.Metrics.APICalls[k] = v
			}
			if info.Total > 0 {
				di.Utilization = float64(info.Used / info.Total * 100)
			}
			disksInfo[index] = di
			return nil
		}, index)
	}

	g.Wait()
	return disksInfo
}

// Get an aggregated storage info across all disks.

		percUtil:          "Percentage of time the disk was busy",
		usedBytes:         "Used bytes on a drive",
		totalBytes:        "Total bytes on a drive",
		usedInodes:        "Total inodes used on a drive",
		totalInodes:       "Total inodes on a drive",
		cpuUser:           "CPU user time",
		cpuSystem:         "CPU system time",
		cpuIdle:           "CPU idle time",

    }
    checkPositionIndexes(off, off + len, b.length);
    int total = 0;
    while (total < len) {
      int result = in.read(b, off + total, len - total);
      if (result == -1) {
        break;
      }
      total += result;
    }
    return total;
  }

		"Webhook queue length",
		allWebhookLabels...)
	webhookTotalMessagesMD = NewCounterMD(webhookTotalMessages,
		"Total number of messages sent to this target",
		allWebhookLabels...)
)

// loadLoggerWebhookMetrics - `MetricsLoaderFn` for logger webhook
// such as failed messages and total messages.
func loadLoggerWebhookMetrics(ctx context.Context, m MetricValues, c *metricsCache) error {

        while (entries.hasNext()) {
            TransferResourceAndSize entry = entries.next();
            // just in case, make sure 0 <= complete <= total
            long complete = Math.max(0, entry.transferredBytes);
            long total = Math.max(complete, entry.resource.getContentLength());

            String resourceName = entry.resource.getResourceName();

            if (printResourceNames) {

	replicationAverageDataTransferRateMD = NewGaugeMD(replicationAverageDataTransferRate,
		"Average replication data transfer rate in bytes/sec")
	replicationCurrentActiveWorkersMD = NewGaugeMD(replicationCurrentActiveWorkers,
		"Total number of active replication workers")
	replicationCurrentDataTransferRateMD = NewGaugeMD(replicationCurrentDataTransferRate,
		"Current replication data transfer rate in bytes/sec")

    InputStream in = joined.openStream();
    assertFalse(in.markSupported());
    assertEquals(10, in.available());
    int total = 0;
    while (in.read() != -1) {
      total++;
    }
    assertEquals(0, in.available());
    assertEquals(20, total);
  }

  @SuppressWarnings("CheckReturnValue") // these calls to skip always return 0
  public void testSkip() throws Exception {

          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{endpoint}},{{server}}",
          "refId": "A"
        }
      ],
      "title": "Total Failed Data",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "fieldConfig": {
        "defaults": {

- **MinIO creates erasure-coding sets of _2_ to _16_ drives per set.  The number of drives you provide in total must be a multiple of one of those numbers.**
- **MinIO chooses the largest EC set size which divides into the total number of drives or total number of nodes given - making sure to keep the uniform distribution i.e each node participates equal number of drives per set**.