* Adds a Throwable to the list of failures.
     *
     * @param t the Throwable to add
     */
    public void addFailure(final Throwable t) {
        failures.add(t);
    }

    /**
     * Checks if there are any failures recorded.
     *
     * @return true if there is at least one failure, false otherwise
     */
    public boolean hasFailure() {
        return !failures.isEmpty();
    }

    /**

// previous results
func (dt *dynamicTimeout) adjust(entries [dynamicTimeoutLogSize]time.Duration) {
	failures, maxDur := 0, time.Duration(0)
	for _, dur := range entries[:] {
		if dur == maxDuration {
			failures++
		} else if dur > maxDur {
			maxDur = dur
		}
	}

	failPct := float64(failures) / float64(len(entries))

	if failPct > dynamicTimeoutIncreaseThresholdPct {

| `minio_cluster_replication_proxied_head_requests_failures` | (_Site Replication Only_)Number of failures in HEAD requests proxied to replication target                          |

| `minio_cluster_erasure_set_read_tolerance`       | Number of drive failures that can be tolerated without disrupting read operations. <br><br>Type: gauge  | `pool_id`, `set_id` |
| `minio_cluster_erasure_set_write_tolerance`      | Number of drive failures that can be tolerated without disrupting write operations. <br><br>Type: gauge | `pool_id`, `set_id` |

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?

		case tierRequestsFailure:
			fail += metric.Value
		}
	}
	if int(succ) != expSuccess {
		t.Fatalf("Expected %d successes but got %f", expSuccess, succ)
	}
	if int(fail) != expFailure {
		t.Fatalf("Expected %d failures but got %f", expFailure, fail)
	}

							ignore = true
							stopFn(0, nil)
							break
						}
						failure = true
						rebalanceLogIf(ctx, err)
						stopFn(version.Size, err)
						continue
					}

					stopFn(version.Size, nil)
					failure = false
					break
				}
				if ignore {
					continue
				}
				if failure {
					break // break out on first error
				}

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?

`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...

		},
		Totals: madmin.RStat{
			Count: float64(rt.SinceUptime.Count),
			Bytes: rt.SinceUptime.Bytes,
		},
		ErrCounts: errCounts,
	}
}

func (rt *RTimedMetrics) addsize(size int64, err error) {
	// failures seen since uptime
	atomic.AddInt64(&rt.SinceUptime.Bytes, size)
	atomic.AddInt64(&rt.SinceUptime.Count, 1)
	rt.LastMinute.addsize(size)
	rt.LastHour.addsize(size)