func (c *criMetricsCollector) CollectWithStability(ch chan<- metrics.Metric) {
	podMetrics, err := c.listPodSandboxMetricsFn(context.Background())
	if err != nil {
		klog.ErrorS(err, "Failed to get pod metrics")
		return
	}

	for _, podMetric := range podMetrics {
		for _, metric := range podMetric.GetMetrics() {
			promMetric, err := c.criMetricToProm(metric)
			if err == nil {
				ch <- promMetric
			}
		}

    overrides:
    - match:
        metric: ALL_METRICS
      disabled: false
---
apiVersion: telemetry.istio.io/v1alpha1
kind: Telemetry
metadata:
  name: has-conflict-1 # Both Telemetries in this namespace omit workload selector, so they are in conflict
  namespace: ns2
spec:
  metrics:
  - providers:
    - name: prometheus
    overrides:
    - match:
        metric: ALL_METRICS
        mode: CLIENT

// Since new containers are frequently created and removed, using the Gauge would
// leak metric collectors for containers or pods that no longer exist.  Instead, implement
// custom collector in a way that only collects metrics for active containers.
func (rc *resourceMetricsCollector) CollectWithStability(ch chan<- metrics.Metric) {
	ctx := context.Background()
	var errorCount float64
	defer func() {

          },
          "target": {
            "type": "typeValue",
            "value": "0",
            "averageValue": "0",
            "averageUtilization": 4
          },
          "metric": {
            "name": "nameValue",
            "selector": {
              "matchLabels": {
                "matchLabelsKey": "matchLabelsValue"
              },
              "matchExpressions": [
                {

          },
          "target": {
            "type": "typeValue",
            "value": "0",
            "averageValue": "0",
            "averageUtilization": 4
          },
          "metric": {
            "name": "nameValue",
            "selector": {
              "matchLabels": {
                "matchLabelsKey": "matchLabelsValue"
              },
              "matchExpressions": [
                {

	}
	out.MetricName = in.Metric.Name
	out.Selector = in.Metric.Selector
	return nil
}

func Convert_v2beta1_PodsMetricStatus_To_autoscaling_PodsMetricStatus(in *autoscalingv2beta1.PodsMetricStatus, out *autoscaling.PodsMetricStatus, s conversion.Scope) error {
	out.Current = autoscaling.MetricValueStatus{
		AverageValue: &in.CurrentAverageValue,
	}
	out.Metric = autoscaling.MetricIdentifier{

	}

	key := getResourceKey(name, labels)
	metric, found := subsysMetrics[key]
	if !found {
		metric = ResourceMetric{
			Name:   name,
			Labels: labels,
		}
	}

	if isCumulative {
		metric.Current = val - metric.Cumulative
		metric.Cumulative = val
	} else {
		metric.Current = val
	}

	if metric.Current > metric.Max {
		metric.Max = val
	}

	metric.Sum += metric.Current

				StabilityLevel: metrics.ALPHA,
			},
			[]string{"crd_name", "from_version", "to_version", "succeeded"})
		err := legacyregistry.Register(metric)
		if err != nil {
			return nil, err
		}
		c.durations["webhook"] = metric
	}
	return &converterMetric{latencies: metric, delegate: converter, crdName: crdName}, nil
}

func (m *converterMetric) Convert(in runtime.Object, targetGV schema.GroupVersion) (runtime.Object, error) {

package v2

// PodsMetricSourceApplyConfiguration represents an declarative configuration of the PodsMetricSource type for use
// with apply.
type PodsMetricSourceApplyConfiguration struct {
	Metric *MetricIdentifierApplyConfiguration `json:"metric,omitempty"`
	Target *MetricTargetApplyConfiguration     `json:"target,omitempty"`
}

// PodsMetricSourceApplyConfiguration constructs an declarative configuration of the PodsMetricSource type for use with

type monitoringMetrics struct {
	CSR               monitoring.Metric
	AuthnError        monitoring.Metric
	Success           monitoring.Metric
	CSRError          monitoring.Metric
	IDExtractionError monitoring.Metric
	certSignErrors    monitoring.Metric
}

// newMonitoringMetrics creates a new monitoringMetrics.
func newMonitoringMetrics() monitoringMetrics {