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()

				return
			}
		case "Online":
			z.Online, err = dc.ReadBool()
			if err != nil {
				err = msgp.WrapError(err, "Online")
				return
			}
		case "Latency":
			err = z.Latency.DecodeMsg(dc)
			if err != nil {
				err = msgp.WrapError(err, "Latency")
				return
			}
		case "ReplicatedSize":
			z.ReplicatedSize, err = dc.ReadInt64()
			if err != nil {
				err = msgp.WrapError(err, "ReplicatedSize")

	// All fields must be accessed atomically and aligned.
	operations [osMetricLast]uint64
	latency    [osMetricLast]lockedLastMinuteLatency
}

// time an os action.
func (o *osMetrics) time(s osMetric) func() {
	startTime := time.Now()
	return func() {
		duration := time.Since(startTime)

		atomic.AddUint64(&o.operations[s], 1)
		o.latency[s].add(duration)
	}
}

	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"

	return err != nil
}

// IsPCFTile returns if server is running in PCF
func IsPCFTile() bool {
	return env.Get("MINIO_PCF_TILE_VERSION", "") != ""
}

// DO NOT CHANGE USER AGENT STYLE.
// The style should be
//
//	MinIO (<OS>; <ARCH>[; <MODE>][; dcos][; kubernetes][; docker][; source]) MinIO/<VERSION> MinIO/<RELEASE-TAG> MinIO/<COMMIT-ID> [MinIO/universe-<PACKAGE-NAME>] [MinIO/helm-<HELM-VERSION>]
//

          "exemplar": true,
          "expr": "sum by (server, endpoint) (minio_cluster_replication_average_link_latency_ms{job=\"$scrape_jobs\"})",
          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{server,endpoint}}",
          "refId": "A"
        }
      ],
      "title": "Avg. Link Latency (millis)",
      "type": "timeseries"
    },
    {
      "datasource": {

          "expr": "sum by (server, endpoint) (minio_cluster_replication_average_link_latency_ms{job=\"$scrape_jobs\"})",
          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{server,endpoint}}",
          "refId": "A"
        }
      ],
      "thresholds": [],
      "timeRegions": [],
      "title": "Avg. Link Latency (millis)",
      "tooltip": {
        "shared": true,
        "sort": 0,

...

It includes built in muxing of concurrent requests as well as congestion handling for streams.

Requests can be "Single Payload" or "Streamed".

Use the MinIO Grid for:

* Small, frequent requests with low latency requirements.
* Long-running requests with small/medium payloads.

Do *not* use the MinIO Grid for:

* Large payloads.

Only a single connection is ever made between two servers.

			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()
}