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Description

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.

Type

object

Specification

Property Type Description

apiVersion

string

APIVersion defines the versioned schema of this representation of an object. Servers should convert recognized schemas to the latest internal value, and may reject unrecognized values. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#resources

kind

string

Kind is a string value representing the REST resource this object represents. Servers may infer this from the endpoint the client submits requests to. Cannot be updated. In CamelCase. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#types-kinds

metadata

ObjectMeta

metadata is the standard object metadata. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#metadata

spec

object

HorizontalPodAutoscalerSpec describes the desired functionality of the HorizontalPodAutoscaler.

status

object

HorizontalPodAutoscalerStatus describes the current status of a horizontal pod autoscaler.

.spec

Description

HorizontalPodAutoscalerSpec describes the desired functionality of the HorizontalPodAutoscaler.

Type

object

Required
  • scaleTargetRef

  • maxReplicas

Property Type Description

behavior

object

HorizontalPodAutoscalerBehavior configures the scaling behavior of the target in both Up and Down directions (scaleUp and scaleDown fields respectively).

maxReplicas

integer

maxReplicas is the upper limit for the number of replicas to which the autoscaler can scale up. It cannot be less that minReplicas.

metrics

array

metrics contains the specifications for which to use to calculate the desired replica count (the maximum replica count across all metrics will be used). The desired replica count is calculated multiplying the ratio between the target value and the current value by the current number of pods. Ergo, metrics used must decrease as the pod count is increased, and vice-versa. See the individual metric source types for more information about how each type of metric must respond. If not set, the default metric will be set to 80% average CPU utilization.

metrics[]

object

MetricSpec specifies how to scale based on a single metric (only type and one other matching field should be set at once).

minReplicas

integer

minReplicas is the lower limit for the number of replicas to which the autoscaler can scale down. It defaults to 1 pod. minReplicas is allowed to be 0 if the alpha feature gate HPAScaleToZero is enabled and at least one Object or External metric is configured. Scaling is active as long as at least one metric value is available.

scaleTargetRef

object

CrossVersionObjectReference contains enough information to let you identify the referred resource.

.spec.behavior

Description

HorizontalPodAutoscalerBehavior configures the scaling behavior of the target in both Up and Down directions (scaleUp and scaleDown fields respectively).

Type

object

Property Type Description

scaleDown

object

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.

scaleUp

object

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.

.spec.behavior.scaleDown

Description

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.

Type

object

Property Type Description

policies

array

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

policies[]

object

HPAScalingPolicy is a single policy which must hold true for a specified past interval.

selectPolicy

string

selectPolicy is used to specify which policy should be used. If not set, the default value Max is used.

stabilizationWindowSeconds

integer

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).

.spec.behavior.scaleDown.policies

Description

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

Type

array

.spec.behavior.scaleDown.policies[]

Description

HPAScalingPolicy is a single policy which must hold true for a specified past interval.

Type

object

Required
  • type

  • value

  • periodSeconds

Property Type Description

periodSeconds

integer

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).

type

string

Type is used to specify the scaling policy.

value

integer

Value contains the amount of change which is permitted by the policy. It must be greater than zero

.spec.behavior.scaleUp

Description

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.

Type

object

Property Type Description

policies

array

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

policies[]

object

HPAScalingPolicy is a single policy which must hold true for a specified past interval.

selectPolicy

string

selectPolicy is used to specify which policy should be used. If not set, the default value Max is used.

stabilizationWindowSeconds

integer

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).

.spec.behavior.scaleUp.policies

Description

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

Type

array

.spec.behavior.scaleUp.policies[]

Description

HPAScalingPolicy is a single policy which must hold true for a specified past interval.

Type

object

Required
  • type

  • value

  • periodSeconds