if hs, ok := h[t.URL().Host]; ok {
						t.TotalDowntime = hs.offlineDuration
						t.Online = hs.Online
						t.LastOnline = hs.lastOnline
						t.Latency = madmin.LatencyStat{
							Curr: hs.latency.curr,
							Avg:  hs.latency.avg,
							Max:  hs.latency.peak,
						}
					}
					targets = append(targets, t.Clone())
				}
			}
		}
		return targets
	}
	sys.RLock()
	defer sys.RUnlock()

	// Append the api label for the drive API latencies.
	labels = append(labels, "api", "")
	lastIdx := len(labels) - 1
	for apiName, latency := range disk.Metrics.LastMinute {
		labels[lastIdx] = "storage." + apiName
		m.Set(driveAPILatencyMicros, float64(latency.Avg().Microseconds()),
			labels...)
	}
}

func (m *MetricValues) setDriveIOStatMetrics(ioStats driveIOStatMetrics, labels []string) {

| `minio_cluster_replication_average_link_latency_ms`        | Average replication link latency in milliseconds                                                         |
| `minio_cluster_replication_max_link_latency_ms`            | Maximum replication link latency in milliseconds seen since server start                                 |

	maxTransferRate    MetricName = "max_transfer_rate"
	credentialErrors   MetricName = "credential_errors"

	currLinkLatency MetricName = "current_link_latency_ms"
	avgLinkLatency  MetricName = "average_link_latency_ms"
	maxLinkLatency  MetricName = "max_link_latency_ms"

	linkOnline                MetricName = "link_online"
	linkOfflineDuration       MetricName = "link_offline_duration_seconds"

| `minio_system_drive_waiting_io`                | `gauge`   | Total waiting I/O operations on a drive                            | `drive,set_index,drive_index,pool_index,server`     |
| `minio_system_drive_api_latency_micros`        | `gauge`   | Average last minute latency in µs for drive API storage operations | `drive,api,set_index,drive_index,pool_index,server` |

* Ensure traffic between mesh workloads is securely encrypted with an Istio identity.
* Be lightweight enough to not limit adoption.
  * This puts a much tighter budget on CPU, memory, latency, and throughput requirements than traditional Istio sidecars.

Ztunnel was not designed to be a feature-rich data plane.
Quite the opposite - an *aggressively* small feature set is the key feature that makes ztunnel viable.

			runtime.Gosched()
			acc = e.cached.Load()
		}
	}
	atomic.AddInt64(&acc.N, 1)
	atomic.AddInt64(&acc.Total, int64(value))
	atomic.AddInt64(&acc.Size, sz)
}

// total returns the total call count and latency for the last minute.
func (e *lockedLastMinuteLatency) total() AccElem {
	e.mu.Lock()
	defer e.mu.Unlock()
	return e.lastMinuteLatency.getTotal()
}

  // Timed Get
  // There are a few design constraints to consider
  // * We want to be responsive to small timeouts, unpark() has non trivial latency overheads (I
  //   have observed 12 micros on 64-bit linux systems to wake up a parked thread). So if the
  //   timeout is small we shouldn't park(). This needs to be traded off with the cpu overhead of

			// use target endpoint metrics from node which has been up the longest
			if v2.LastOnline.After(v.LastOnline) || v2.LastOnline.IsZero() {
				v2.Endpoint = v.Endpoint
				v2.LastOnline = v.LastOnline
				v2.Latency = v.Latency
				v2.Online = v.Online
				v2.TotalDowntime = v.TotalDowntime
				v2.DeploymentID = v.DeploymentID
			}
			v2.ReplicatedCount += v.ReplicatedCount
			v2.ReplicatedSize += v.ReplicatedSize

	smallFileThreshold = 128 * humanize.KiByte // Optimized for NVMe/SSDs

	// For hardrives it is possible to set this to a lower value to avoid any
	// spike in latency. But currently we are simply keeping it optimal for SSDs.

	// bigFileThreshold is the point where we add readahead to put operations.
	bigFileThreshold = 128 * humanize.MiByte