{Name: "FLOAT32", DBName: "ffloat32", BindNames: []string{"FLOAT32"}, DataType: schema.Float, Creatable: true, Updatable: true, Readable: true, Size: 32, Tag: `gorm:"column:ffloat32"`},
		{Name: "FLOAT64", DBName: "ffloat64", BindNames: []string{"FLOAT64"}, DataType: schema.Float, Creatable: true, Updatable: true, Readable: true, Size: 64, Tag: `gorm:"column:ffloat64"`},

			Buckets: []float64{.05, .1, .25, .5, 1, 2.5, 5, 10},
		},
		[]string{"api"},
	)
	bucketHTTPRequestsDuration = prometheus.NewHistogramVec(
		prometheus.HistogramOpts{
			Name:    "s3_ttfb_seconds",
			Help:    "Time taken by requests served by current MinIO server instance per bucket",
			Buckets: []float64{.05, .1, .25, .5, 1, 2.5, 5, 10},
		},
		[]string{"api", "bucket"},
	)

		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))

		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 {

		if globalExpiryState != nil {
			expPendingTasks.Value = float64(globalExpiryState.PendingTasks())
			expMissedTasks.Value = float64(globalExpiryState.stats.MissedTasks())
			expMissedFreeVersions.Value = float64(globalExpiryState.stats.MissedFreeVersTasks())
			expMissedTierJournalTasks.Value = float64(globalExpiryState.stats.MissedTierJournalTasks())
			expNumWorkers.Value = float64(globalExpiryState.stats.NumWorkers())
		}

					m.Set(bucketReplProxiedHeadRequestsTotal, float64(s.ProxyStats.HeadTotal), labels...)
					m.Set(bucketReplProxiedPutTaggingRequestsFailures, float64(s.ProxyStats.PutTagFailedTotal), labels...)
					m.Set(bucketReplProxiedPutTaggingRequestsTotal, float64(s.ProxyStats.PutTagTotal), labels...)
					m.Set(bucketReplSentCount, float64(stat.ReplicatedCount), labels...)

		Peak:    peak,
		Curr:    curr,
		measure: rx.measure,
		N:       rx.N + o.N,
	}
}

func calcAvg(x, y float64, n1, n2 int64) float64 {
	if n1+n2 == 0 {
		return 0
	}
	avg := (x*float64(n1) + y*float64(n2)) / float64(n1+n2)
	return avg
}

// Add a new transfer
func (rx *XferStats) addSize(sz int64, t time.Duration) {
	if rx.measure == nil {

	Labels map[string]string

	// value captured in current cycle
	Current float64

	// Used when system provides cumulative (since uptime) values
	// helps in calculating the current value by comparing the new
	// cumulative value with previous one
	Cumulative float64

	Max   float64
	Avg   float64
	Sum   float64
	Count uint64
}

func init() {

	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)
	}

		m.Set(processStartTimeSeconds, float64(startTime))
	}
}

func loadProcIOMetrics(ctx context.Context, io procfs.ProcIO, m MetricValues) {
	if io.RChar > 0 {
		m.Set(processIORCharBytes, float64(io.RChar))
	}

	if io.ReadBytes > 0 {
		m.Set(processIOReadBytes, float64(io.ReadBytes))
	}

	if io.WChar > 0 {
		m.Set(processIOWCharBytes, float64(io.WChar))
	}

	if io.WriteBytes > 0 {