Changes to accommodate client-go changes and kube vendor update

to v1.18.0

Signed-off-by: Humble Chirammal <hchiramm@redhat.com>

vendor/k8s.io/api/autoscaling/v2beta2/generated.proto

@@ -64,6 +64,47 @@ message ExternalMetricStatus {
   optional MetricValueStatus current = 2;
 }
 
+// HPAScalingPolicy is a single policy which must hold true for a specified past interval.
+message HPAScalingPolicy {
+  // Type is used to specify the scaling policy.
+  optional string type = 1;
+
+  // Value contains the amount of change which is permitted by the policy.
+  // It must be greater than zero
+  optional int32 value = 2;
+
+  // PeriodSeconds specifies the window of time for which the policy should hold true.
+  // PeriodSeconds must be greater than zero and less than or equal to 1800 (30 min).
+  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
+// number of replicas is not set instantly, instead, the safest value from the stabilization
+// window is chosen.
+message HPAScalingRules {
+  // StabilizationWindowSeconds is the number of seconds for which past recommendations should be
+  // considered while scaling up or scaling down.
+  // StabilizationWindowSeconds must be greater than or equal to zero and less than or equal to 3600 (one hour).
+  // If not set, use the default values:
+  // - For scale up: 0 (i.e. no stabilization is done).
+  // - For scale down: 300 (i.e. the stabilization window is 300 seconds long).
+  // +optional
+  optional int32 stabilizationWindowSeconds = 3;
+
+  // selectPolicy is used to specify which policy should be used.
+  // If not set, the default value MaxPolicySelect is used.
+  // +optional
+  optional string selectPolicy = 1;
+
+  // policies is a list of potential scaling polices which can be used during scaling.
+  // At least one policy must be specified, otherwise the HPAScalingRules will be discarded as invalid
+  // +optional
+  repeated HPAScalingPolicy policies = 2;
+}
+
 // HorizontalPodAutoscaler is the configuration for a horizontal pod
 // autoscaler, which automatically manages the replica count of any resource
 // implementing the scale subresource based on the metrics specified.
@@ -83,6 +124,25 @@ message HorizontalPodAutoscaler {
   optional HorizontalPodAutoscalerStatus status = 3;
 }
 
+// HorizontalPodAutoscalerBehavior configures the scaling behavior of the target
+// in both Up and Down directions (scaleUp and scaleDown fields respectively).
+message HorizontalPodAutoscalerBehavior {
+  // 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
+  optional HPAScalingRules scaleUp = 1;
+
+  // scaleDown is scaling policy for scaling Down.
+  // If not set, the default value is to allow to scale down to minReplicas pods, with a
+  // 300 second stabilization window (i.e., the highest recommendation for
+  // the last 300sec is used).
+  // +optional
+  optional HPAScalingRules scaleDown = 2;
+}
+
 // HorizontalPodAutoscalerCondition describes the state of
 // a HorizontalPodAutoscaler at a certain point.
 message HorizontalPodAutoscalerCondition {
@@ -145,6 +205,12 @@ message HorizontalPodAutoscalerSpec {
   // If not set, the default metric will be set to 80% average CPU utilization.
   // +optional
   repeated MetricSpec metrics = 4;
+
+  // behavior configures the scaling behavior of the target
+  // in both Up and Down directions (scaleUp and scaleDown fields respectively).
+  // If not set, the default HPAScalingRules for scale up and scale down are used.
+  // +optional
+  optional HorizontalPodAutoscalerBehavior behavior = 5;
 }
 
 // HorizontalPodAutoscalerStatus describes the current status of a horizontal pod autoscaler.