waitingTotal      MetricName = "waiting_total"
	incomingTotal     MetricName = "incoming_total"
	objectTotal       MetricName = "object_total"
	versionTotal      MetricName = "version_total"
	deleteMarkerTotal MetricName = "deletemarker_total"
	offlineTotal      MetricName = "offline_total"
	onlineTotal       MetricName = "online_total"
	openTotal         MetricName = "open_total"

			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()
}

			prometheus.BuildFQName(interNodeNamespace, "tx", "bytes_total"),
			"Total number of bytes sent to the other peer nodes by current MinIO server instance",
			nil, nil),
		prometheus.CounterValue,
		float64(connStats.internodeOutputBytes),
	)

	ch <- prometheus.MustNewConstMetric(
		prometheus.NewDesc(
			prometheus.BuildFQName(interNodeNamespace, "rx", "bytes_total"),

package cmd

import (
	"context"
)

const (
	notificationCurrentSendInProgress = "current_send_in_progress"
	notificationEventsErrorsTotal     = "events_errors_total"
	notificationEventsSentTotal       = "events_sent_total"
	notificationEventsSkippedTotal    = "events_skipped_total"
)

var (
	notificationCurrentSendInProgressMD = NewCounterMD(notificationCurrentSendInProgress, "Number of concurrent async Send calls active to all targets")

package cmd

import (
	"context"
)

const (
	memTotal     = "total"
	memUsed      = "used"
	memFree      = "free"
	memBuffers   = "buffers"
	memCache     = "cache"
	memUsedPerc  = "used_perc"
	memShared    = "shared"
	memAvailable = "available"
)

var (
	memTotalMD     = NewGaugeMD(memTotal, "Total memory on the node")
	memUsedMD      = NewGaugeMD(memUsed, "Used memory on the node")

          "exemplar": false,
          "expr": "max(minio_cluster_drive_offline_total{job=~\"$scrape_jobs\"})",
          "format": "time_series",
          "hide": false,
          "instant": true,
          "legendFormat": ".",
          "range": false,
          "refId": "B"
        }
      ],
      "title": "Total Online/Offline Drives",
      "type": "gauge"
    },
    {
      "datasource": {

	Available  uint64 // in bytes
	MaxUsedPct int    // Used disk percentage of most filled disk, rounded down.
}

// TotalAvailable - total available space
func (p serverPoolsAvailableSpace) TotalAvailable() uint64 {
	total := uint64(0)
	for _, z := range p {
		total += z.Available
	}
	return total
}

// FilterMaxUsed will filter out any pools that has used percent bigger than max,

		for i := range cpus {
			cpuMap[cpus[i].PhysicalID] = struct{}{}
			coreMap[cpus[i].CoreID] = struct{}{}
		}
		cpu := cpus[0]
		uaAppend(" CPU ", fmt.Sprintf("(total_cpus:%d, total_cores:%d; vendor:%s; family:%s; model:%s; stepping:%d; model_name:%s)",
			len(cpuMap), len(coreMap), cpu.VendorID, cpu.Family, cpu.Model, cpu.Stepping, cpu.ModelName))
	}
	uaAppend(")", "")

	ID              string             `msg:"id"`     // ID of the ongoing rebalance operation
	PercentFreeGoal float64            `msg:"pf"`     // Computed from total free space and capacity at the start of rebalance
	PoolStats       []*rebalanceStats  `msg:"rss"`    // Per-pool rebalance stats keyed by pool index
}

var errRebalanceNotStarted = errors.New("rebalance not started")

				}
			}
			if err != nil {
				return toObjectErr(err, bucket, object)
			}
		}
		for i, r := range readers {
			if r == nil {
				onlineDisks[i] = OfflineDisk
			}
		}
		// Track total bytes read from disk and written to the client.
		totalBytesRead += partLength
		// partOffset will be valid only for the first part, hence reset it to 0 for
		// the remaining parts.
		partOffset = 0