return err
	}

	m.Set(memTotal, float64(memMetrics.Total))
	m.Set(memUsed, float64(memMetrics.Used))
	usedPerc := float64(memMetrics.Used) * 100 / float64(memMetrics.Total)
	m.Set(memUsedPerc, usedPerc)
	m.Set(memFree, float64(memMetrics.Free))
	m.Set(memBuffers, float64(memMetrics.Buffers))
	m.Set(memCache, float64(memMetrics.Cache))
	m.Set(memShared, float64(memMetrics.Shared))

	storageInfo := clusterDriveMetrics.storageInfo

	m.Set(healthCapacityRawTotalBytes, float64(GetTotalCapacity(storageInfo.Disks)))
	m.Set(healthCapacityRawFreeBytes, float64(GetTotalCapacityFree(storageInfo.Disks)))
	m.Set(healthCapacityUsableTotalBytes, float64(GetTotalUsableCapacity(storageInfo.Disks, storageInfo)))
	m.Set(healthCapacityUsableFreeBytes, float64(GetTotalUsableCapacityFree(storageInfo.Disks, storageInfo)))

	return nil

		m.expMovingAvg = float64(bytesSinceLastWindow) / duration.Seconds()
		return
	}

	increment := float64(bytesSinceLastWindow) / duration.Seconds()
	m.expMovingAvg = exponentialMovingAverage(betaBucket, m.expMovingAvg, increment)
}

// exponentialMovingAverage calculates the exponential moving average
func exponentialMovingAverage(beta, previousAvg, incrementAvg float64) float64 {

		return nil
	}

	nstats := globalEventNotifier.targetList.Stats()
	m.Set(notificationCurrentSendInProgress, float64(nstats.CurrentSendCalls))
	m.Set(notificationEventsErrorsTotal, float64(nstats.EventsErrorsTotal))
	m.Set(notificationEventsSentTotal, float64(nstats.TotalEvents))
	m.Set(notificationEventsSkippedTotal, float64(nstats.EventsSkipped))

	return nil

		if rows == -1 {
			l.Printf(l.traceWarnStr, utils.FileWithLineNum(), slowLog, float64(elapsed.Nanoseconds())/1e6, "-", sql)
		} else {
			l.Printf(l.traceWarnStr, utils.FileWithLineNum(), slowLog, float64(elapsed.Nanoseconds())/1e6, rows, sql)
		}
	case l.LogLevel == Info:
		sql, rows := fc()
		if rows == -1 {
			l.Printf(l.traceStr, utils.FileWithLineNum(), float64(elapsed.Nanoseconds())/1e6, "-", sql)
		} else {

	m.Set(usageTotalBytes, float64(clusterSize))
	m.Set(usageObjectsCount, float64(clusterObjectsCount))
	m.Set(usageVersionsCount, float64(clusterVersionsCount))
	m.Set(usageDeleteMarkersCount, float64(clusterDeleteMarkersCount))
	m.Set(usageBucketsCount, float64(clusterBuckets))
	for k, v := range clusterObjectSizesHistogram {
		m.Set(usageSizeDistribution, float64(v), "range", k)
	}

			r.opts.HeaderSize = 0
			need = int(math.Min(float64(b-hdr), float64(need))) // use remaining tokens towards payload
			tokens = need + hdr

		} else { // part of header can be accommodated
			r.opts.HeaderSize -= b - 1
			need = 1 // to ensure we read at least one byte for every Read
			tokens = b
		}
	} else { // all tokens go towards payload
		need = int(math.Min(float64(b), float64(need)))
		tokens = need
	}

		wg.Add(1)
		rng := rand.New(rand.NewSource(int64(i)))
		go func() {
			defer wg.Done()
			for i := 0; i < 100; i++ {
				for j := 0; j < 100; j++ {
					timeout.LogSuccess(time.Duration(float64(time.Second) * rng.Float64()))
				}
				to := timeout.Timeout()
				if to < time.Millisecond || to > time.Second {
					panic(to)
				}
			}
		}()
	}
	wg.Wait()
}

	m.readsPerSec = float64(ioStats.ReadIOs) / durationSecs
	m.readsKBPerSec = float64(ioStats.ReadSectors) * float64(sectorSize) / kib / durationSecs
	if ioStats.ReadIOs > 0 {
		m.readsAwait = float64(ioStats.ReadTicks) / float64(ioStats.ReadIOs)
	}

	m.writesPerSec = float64(ioStats.WriteIOs) / durationSecs
	m.writesKBPerSec = float64(ioStats.WriteSectors) * float64(sectorSize) / kib / durationSecs

		return
	}

	configuredPartSize := minPartSize
	// Use floats for part size for all calculations to avoid
	// overflows during float64 to int64 conversions.
	partSizeFlt := float64(objectSize / maxPartsCount)
	partSizeFlt = math.Ceil(partSizeFlt/float64(configuredPartSize)) * float64(configuredPartSize)

	// Part size.
	partSize = int64(partSizeFlt)
	if partSize == 0 {
		return minPartSize, nil
	}
	return partSize, nil