metric.TotalDowntime = epHealth.offlineDuration
			metric.LastOnline = epHealth.lastOnline
			metric.Online = epHealth.Online
			metric.Latency = madmin.LatencyStat{
				Curr: epHealth.latency.curr,
				Avg:  epHealth.latency.avg,
				Max:  epHealth.latency.peak,
			}
		}
		m[dID] = metric
	}
	return m
}

func (srs *SRStatus) updateXferRate(sz int64, duration time.Duration) {
	if sz > minLargeObjSize {

		dur = 0
	}
	a.Total += int64(dur)
	a.N++
}

// Merge b into a.
func (a *AccElem) merge(b AccElem) {
	a.N += b.N
	a.Total += b.Total
	a.Size += b.Size
}

// Avg returns average time spent.
func (a AccElem) avg() time.Duration {
	if a.N >= 1 && a.Total > 0 {
		return time.Duration(a.Total / a.N)
	}
	return 0
}

// asTimedAction returns the element as a madmin.TimedAction.

    //                                                                            ========

    protected AvgAggregationBuilder regAvgA(String name, String field) {
        AvgAggregationBuilder builder = AggregationBuilders.avg(name).field(field);
        regA(builder);
        return builder;
    }

    protected MaxAggregationBuilder regMaxA(String name, String field) {

at\":\"HH:mm\",\"bounds\":{\"min\":\"2019-07-28T11:33:01.690Z\",\"max\":\"2019-07-30T11:33:01.690Z\"}},\"aggType\":\"date_histogram\"},\"y\":[{\"accessor\":1,\"format\":{\"id\":\"number\"},\"params\":{},\"aggType\":\"avg\"}]}},\"aggs\":[{\"id\":\"1\",\"enabled\":true,\"type\":\"avg\",\"schema\":\"metric\",\"params\":{\"field\":\"responseTime\"}},{\"id\":\"2\",\"enabled\":true,\"type\":\"date_histogram\",\"schema\":\"segment\",\"params\":{\"field\":\"requestedAt\",\"timeRange\":{\"from\":\"now-2d...

          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{server}}",
          "refId": "A"
        }
      ],
      "title": "Avg. Active Workers",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "fieldConfig": {
        "defaults": {

		if err != nil {
			m.Errors = append(m.Errors, fmt.Sprintf("%s: %v (cpuCount)", byHostName, err.Error()))
		} else {
			m.Aggregated.CPU.CPUCount = cpuCount
		}

		loadStat, err := load.Avg()
		if err != nil {
			m.Errors = append(m.Errors, fmt.Sprintf("%s: %v (loadStat)", byHostName, err.Error()))
		} else {
			m.Aggregated.CPU.LoadStat = loadStat
		}
	}
	if types.Contains(madmin.MetricsRPC) {

	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) {
	m.Set(driveReadsPerSec, ioStats.readsPerSec, labels...)

    //                                                                            ========

    protected AvgAggregationBuilder regAvgA(String name, String field) {
        AvgAggregationBuilder builder = AggregationBuilders.avg(name).field(field);
        regA(builder);
        return builder;
    }

    protected MaxAggregationBuilder regMaxA(String name, String field) {

                assertTrue(variance < 50.0,
                        String.format(
                                "Extreme timing variance in concurrent operations: %.3f " + "(min: %d ns, max: %d ns, avg: %.1f ns). "
                                        + "Note: JVM timing variability is expected, constant-time implementation verified.",
                                variance, minTime, maxTime, avgTime));
            }

	if r == nil {
		return ActiveWorkerStat{}
	}
	r.wlock.RLock()
	defer r.wlock.RUnlock()
	w := r.workers.get()
	return ActiveWorkerStat{
		Curr: w.Curr,
		Max:  w.Max,
		Avg:  w.Avg,
	}
}

func (r *ReplicationStats) collectWorkerMetrics(ctx context.Context) {
	if r == nil {
		return
	}
	for {
		select {
		case <-ctx.Done():
			return
		case <-r.wTimer.C: