io.k8s.api.autoscaling.v2

ContainerResourceMetricSource indicates how to scale on a resource metric known to Kubernetes, as specified in requests and limits, describing each pod in the current scale target (e.g. CPU or memory). The values will be averaged together before being compared to the target. Such metrics are built in to Kubernetes, and have special scaling options on top of those available to normal per-pod metrics using the "pods" source. Only one "target" type should be set.

Pointer for ContainerResourceMetricSource

ContainerResourceMetricStatus indicates the current value of a resource metric known to Kubernetes, as specified in requests and limits, describing a single container in each pod in the current scale target (e.g. CPU or memory). Such metrics are built in to Kubernetes, and have special scaling options on top of those available to normal per-pod metrics using the "pods" source.

Pointer for ContainerResourceMetricStatus

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

Pointer for CrossVersionObjectReference

ExternalMetricSource indicates how to scale on a metric not associated with any Kubernetes object (for example length of queue in cloud messaging service, or QPS from loadbalancer running outside of cluster).

Pointer for ExternalMetricSource

ExternalMetricStatus indicates the current value of a global metric not associated with any Kubernetes object.

Pointer for ExternalMetricStatus

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

Pointer for HPAScalingPolicy

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.

Pointer for HPAScalingRules

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.

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

Pointer for HorizontalPodAutoscalerBehavior

HorizontalPodAutoscalerCondition describes the state of a HorizontalPodAutoscaler at a certain point.

Pointer for HorizontalPodAutoscalerCondition

HorizontalPodAutoscalerList is a list of horizontal pod autoscaler objects.

Pointer for HorizontalPodAutoscalerList

Pointer for HorizontalPodAutoscaler

HorizontalPodAutoscalerSpec describes the desired functionality of the HorizontalPodAutoscaler.

Pointer for HorizontalPodAutoscalerSpec

HorizontalPodAutoscalerStatus describes the current status of a horizontal pod autoscaler.

Pointer for HorizontalPodAutoscalerStatus

MetricIdentifier defines the name and optionally selector for a metric

Pointer for MetricIdentifier

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

Pointer for MetricSpec

MetricStatus describes the last-read state of a single metric.

Pointer for MetricStatus

MetricTarget defines the target value, average value, or average utilization of a specific metric

Pointer for MetricTarget

MetricValueStatus holds the current value for a metric

Pointer for MetricValueStatus

ObjectMetricSource indicates how to scale on a metric describing a kubernetes object (for example, hits-per-second on an Ingress object).

Pointer for ObjectMetricSource

ObjectMetricStatus indicates the current value of a metric describing a kubernetes object (for example, hits-per-second on an Ingress object).

Pointer for ObjectMetricStatus

PodsMetricSource indicates how to scale on a metric describing each pod in the current scale target (for example, transactions-processed-per-second). The values will be averaged together before being compared to the target value.

Pointer for PodsMetricSource

PodsMetricStatus indicates the current value of a metric describing each pod in the current scale target (for example, transactions-processed-per-second).

Pointer for PodsMetricStatus

ResourceMetricSource indicates how to scale on a resource metric known to Kubernetes, as specified in requests and limits, describing each pod in the current scale target (e.g. CPU or memory). The values will be averaged together before being compared to the target. Such metrics are built in to Kubernetes, and have special scaling options on top of those available to normal per-pod metrics using the "pods" source. Only one "target" type should be set.

Pointer for ResourceMetricSource

ResourceMetricStatus indicates the current value of a resource metric known to Kubernetes, as specified in requests and limits, describing each pod in the current scale target (e.g. CPU or memory). Such metrics are built in to Kubernetes, and have special scaling options on top of those available to normal per-pod metrics using the "pods" source.

Pointer for ResourceMetricStatus