// averageValue is the current value of the average of the
  // metric across all relevant pods (as a quantity)
  // +optional
  optional k8s.io.apimachinery.pkg.api.resource.Quantity averageValue = 5;
}

// PodsMetricSource indicates how to scale on a metric describing each pod in
// the current scale target (for example, transactions-processed-per-second).
// The values will be averaged together before being compared to the target

  // averageValue is the current value of the average of the
  // metric across all relevant pods (as a quantity)
  // +optional
  optional k8s.io.apimachinery.pkg.api.resource.Quantity averageValue = 5;
}

// PodsMetricSource indicates how to scale on a metric describing each pod in
// the current scale target (for example, transactions-processed-per-second).
// The values will be averaged together before being compared to the target

  // QPS from loadbalancer running outside of cluster).
  // +optional
  optional ExternalMetricStatus external = 5;
}

// MetricTarget defines the target value, average value, or average utilization of a specific metric
message MetricTarget {
  // type represents whether the metric type is Utilization, Value, or AverageValue
  optional string type = 1;

  // QPS from loadbalancer running outside of cluster).
  // +optional
  optional ExternalMetricStatus external = 5;
}

// MetricTarget defines the target value, average value, or average utilization of a specific metric
message MetricTarget {
  // type represents whether the metric type is Utilization, Value, or AverageValue
  optional string type = 1;

package bandwidth

import (
	"sync"
	"sync/atomic"
	"time"
)

const (
	// betaBucket is the weight used to calculate exponential moving average
	betaBucket = 0.1 // Number of averages considered = 1/(1-betaObject)
)

// bucketMeasurement captures the bandwidth details for one bucket
type bucketMeasurement struct {
	lock                 sync.Mutex

	"fmt"
	"sync"
	"sync/atomic"
	"time"

	"github.com/rcrowley/go-metrics"
)

//go:generate msgp -file $GOFILE

const (
	// beta is the weight used to calculate exponential moving average
	beta = 0.1 // Number of averages considered = 1/(1-beta)
)

// rateMeasurement captures the transfer details for one bucket/target
//msgp:ignore rateMeasurement

type rateMeasurement struct {
	lock                 sync.Mutex

| `minio_node_cpu_avg_load5`           | CPU load average 5min.                     |
| `minio_node_cpu_avg_load5_avg`       | CPU load average 5min (avg).               |
| `minio_node_cpu_avg_load5_max`       | CPU load average 5min (max).               |
| `minio_node_cpu_avg_load5_perc`      | CPU load average 5min (percentage).        |

	sysCPUUser      = "user"
)

var (
	sysCPUAvgIdleMD   = NewGaugeMD(sysCPUAvgIdle, "Average CPU idle time")
	sysCPUAvgIOWaitMD = NewGaugeMD(sysCPUAvgIOWait, "Average CPU IOWait time")
	sysCPULoadMD      = NewGaugeMD(sysCPULoad, "CPU load average 1min")
	sysCPULoadPercMD  = NewGaugeMD(sysCPULoadPerc, "CPU load average 1min (percentage)")
	sysCPUNiceMD      = NewGaugeMD(sysCPUNice, "CPU nice time")

		cpuNice:           "CPU nice time",
		cpuLoad1:          "CPU load average 1min",
		cpuLoad5:          "CPU load average 5min",
		cpuLoad15:         "CPU load average 15min",
		cpuLoad1Perc:      "CPU load average 1min (perentage)",
		cpuLoad5Perc:      "CPU load average 5min (percentage)",
		cpuLoad15Perc:     "CPU load average 15min (percentage)",
	}
	resourceMetricsGroups = []*MetricsGroupV2{

import org.apache.maven.api.annotations.Experimental;
import org.apache.maven.api.plugin.descriptor.lifecycle.Lifecycle;

/**
 * Interface that can be provided by the plugin to wire in custom lifecycles
 * leveraged using the {@link org.apache.maven.api.plugin.annotations.Execute}
 * annotation.  If a {@code META-INF/maven/lifecycle.xml} file is packaged
 * in the plugin, Maven will provide a default implementation that will parse