Buckets:        metrics.ExponentialBuckets(0.001, 2, 15),
		},
		[]string{},
	)
	// EndpointsDesired tracks the total number of desired endpoints.
	EndpointsDesired = metrics.NewGaugeVec(
		&metrics.GaugeOpts{
			Subsystem:      EndpointSliceMirroringSubsystem,
			Name:           "endpoints_desired",
			Help:           "Number of endpoints desired",
			StabilityLevel: metrics.ALPHA,
		},
		[]string{},
	)

func (c *Cache) updateMetrics() {
	mUpdate := c.desiredAndActualSlices()
	NumEndpointSlices.WithLabelValues().Set(float64(mUpdate.actual))
	DesiredEndpointSlices.WithLabelValues().Set(float64(mUpdate.desired))
	EndpointsDesired.WithLabelValues().Set(float64(c.numEndpoints))
}

// numDesiredSlices calculates the number of EndpointSlices that would exist
// with ideal endpoint distribution.

	if actualNumSlices != float64(em.actualSlices) {
		t.Errorf("Expected numEndpointSlices to be %d, got %v", em.actualSlices, actualNumSlices)
	}

	actualEndpointsDesired, err := testutil.GetGaugeMetricValue(metrics.EndpointsDesired.WithLabelValues())
	handleErr(t, err, "desiredEndpoints")
	if actualEndpointsDesired != float64(em.desiredEndpoints) {
		t.Errorf("Expected desiredEndpoints to be %d, got %v", em.desiredEndpoints, actualEndpointsDesired)