metricValues := newMetricValues(mg.descriptorMap)

	var err error
	if mg.IsBucketMetricsGroup() {
		err = mg.bucketLoader(GlobalContext, metricValues, mg.cache, mg.buckets)
	} else {
		err = mg.loader(GlobalContext, metricValues, mg.cache)
	}

	// There is no way to handle errors here, so we panic the current goroutine

	for _, mg := range allMetricGroups {
		if !strings.HasPrefix(string(mg.CollectorPath), clusterBasePath) {
			mg.AddExtraLabels(
				serverName, globalLocalNodeName,
				// poolIndex, strconv.Itoa(globalLocalPoolIdx),
			)
		}
		mg.SetCache(metricsCache)
		if mg.IsBucketMetricsGroup() {
			bucketMGMap[mg.CollectorPath] = mg
		} else {
			mgMap[mg.CollectorPath] = mg
		}
	}

		if mg, ok := matchingMG[collectorPath]; ok {
			var commonLabels []string
			for k := range mg.ExtraLabels {
				commonLabels = append(commonLabels, k)
			}
			for _, d := range mg.Descriptors {
				labels := slices.Clone(d.VariableLabels)
				labels = append(labels, commonLabels...)
				metric := metricDisplay{
					Name:   mg.MetricFQN(d.Name),
					Help:   d.Help,

}

func getBucketTTFBMetric() *MetricsGroupV2 {
	mg := &MetricsGroupV2{
		cacheInterval: 10 * time.Second,
	}
	mg.RegisterRead(func(ctx context.Context) []MetricV2 {
		return getHistogramMetrics(bucketHTTPRequestsDuration,
			getBucketTTFBDistributionMD(), true)
	})
	return mg
}

func getS3TTFBMetric() *MetricsGroupV2 {
	mg := &MetricsGroupV2{
		cacheInterval: 10 * time.Second,
	}

		Subsystem: subSys,
		Name:      name,
		Help:      help,
		Type:      gaugeMetric,
	}
}

func getResourceMetrics() *MetricsGroupV2 {
	mg := &MetricsGroupV2{
		cacheInterval: resourceMetricsCacheInterval,
	}
	mg.RegisterRead(func(ctx context.Context) []MetricV2 {
		metrics := []MetricV2{}

		subSystems := []MetricSubsystem{interfaceSubsystem, memSubsystem, driveSubsystem, cpuSubsystem}

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