expectedValue:       numContainersPerPod * totalUsedCPUOfAllPods / 10,
		},
	}

	tc.runTest(t)

	// Reuse the data structure above, now testing "unscaling".
	// Now, we test that no scaling happens if we are in a very close margin to the tolerance
	target = math.Abs(1/(requestedToUsed*(1-defaultTestingTolerance))) + .004
	finalCPUPercentTarget = int32(target * 100)

# issue is a list of GitHub issues resolved in this note.
issue:
  - 42634

docs:
  - '[usage] https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/#configurable-scaling-behavior'

releaseNotes:
- |
  **Added** configurable scaling behavior for Istiod's HPA in helm chart 

upgradeNotes: []

	Identity  Flag = iota - 2 // H is the identity matrix; no rotation is needed.
	Rescaling                 // H specifies rescaling.
)

type DrotmParams struct {
	Flag
}

func Drotmg(d1, d2, x1, y1 float64) (p DrotmParams, rd1, rd2, rx1 float64) {

	const (
		gam    = 4.0
		gamsq  = 16.0
		rgamsq = 5e-8
	)

	if d1 < 0 {
		p.Flag = Rescaling
		return
	}

	for rd1 <= rgamsq || rd1 >= gamsq {

More details could be found in [addon-manager/README.md](addon-manager/README.md).

## Cooperating Horizontal / Vertical Auto-Scaling with "reconcile class addons"

"Reconcile" class addons will be periodically reconciled to the original state given
by the initial config. In order to make Horizontal / Vertical Auto-scaling functional,
the related fields in config should be left unset. More specifically, leave `replicas`

  optional int32 periodSeconds = 3;
}

// HPAScalingRules configures the scaling behavior for one direction.
// These Rules are applied after calculating DesiredReplicas from metrics for the HPA.
// They can limit the scaling velocity by specifying scaling policies.
// They can prevent flapping by specifying the stabilization window, so that the

	"scaleUp":   "scaleUp is scaling policy for scaling Up. If not set, the default value is the higher of:\n  * increase no more than 4 pods per 60 seconds\n  * double the number of pods per 60 seconds\nNo stabilization is used.",

type HorizontalPodAutoscalerBehavior struct {
	// scaleUp is scaling policy for scaling Up.
	// If not set, the default value is the higher of:
	//   * increase no more than 4 pods per 60 seconds
	//   * double the number of pods per 60 seconds
	// No stabilization is used.
	// +optional
	ScaleUp *HPAScalingRules
	// scaleDown is scaling policy for scaling Down.

        command:
          - /scaler.sh
          - --ds-name=fluentd-gcp-{{ fluentd_gcp_yaml_version }}
          - --scaling-policy=fluentd-gcp-scaling-policy
        env:
        # Defaults, used if no overrides are found in fluentd-gcp-scaling-policy
        - name: CPU_REQUEST
          value: 10m
        - name: MEMORY_REQUEST
          value: 200Mi
        - name: CPU_LIMIT
          value: "1"

	// DisabledPolicySelect disables the scaling in this direction.
	DisabledPolicySelect ScalingPolicySelect = "Disabled"
)

// HPAScalingRules configures the scaling behavior for one direction.
// These Rules are applied after calculating DesiredReplicas from metrics for the HPA.
// They can limit the scaling velocity by specifying scaling policies.
// They can prevent flapping by specifying the stabilization window, so that the

  optional int32 periodSeconds = 3;
}

// HPAScalingRules configures the scaling behavior for one direction.
// These Rules are applied after calculating DesiredReplicas from metrics for the HPA.
// They can limit the scaling velocity by specifying scaling policies.
// They can prevent flapping by specifying the stabilization window, so that the