io.k8s.api.autoscaling.v2
Members list
Type members
Classlikes
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.
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.
Attributes
- Companion
- object
- Source
- ContainerResourceMetricSource.scala
- Supertypes
Attributes
- Companion
- class
- Source
- ContainerResourceMetricSource.scala
- Supertypes
-
trait Producttrait Mirrorclass Objecttrait Matchableclass Any
- Self type
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.
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.
Attributes
- Companion
- object
- Source
- ContainerResourceMetricStatus.scala
- Supertypes
Attributes
- Companion
- class
- Source
- ContainerResourceMetricStatus.scala
- Supertypes
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trait Producttrait Mirrorclass Objecttrait Matchableclass Any
- Self type
CrossVersionObjectReference contains enough information to let you identify the referred resource.
CrossVersionObjectReference contains enough information to let you identify the referred resource.
Attributes
- Companion
- object
- Source
- CrossVersionObjectReference.scala
- Supertypes
Attributes
- Companion
- class
- Source
- CrossVersionObjectReference.scala
- Supertypes
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trait Producttrait Mirrorclass Objecttrait Matchableclass Any
- Self type
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).
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).
Attributes
- Companion
- object
- Source
- ExternalMetricSource.scala
- Supertypes
Attributes
- Companion
- class
- Source
- ExternalMetricSource.scala
- Supertypes
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trait Producttrait Mirrorclass Objecttrait Matchableclass Any
- Self type
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ExternalMetricSource.type
ExternalMetricStatus indicates the current value of a global metric not associated with any Kubernetes object.
ExternalMetricStatus indicates the current value of a global metric not associated with any Kubernetes object.
Attributes
- Companion
- object
- Source
- ExternalMetricStatus.scala
- Supertypes
Attributes
- Companion
- class
- Source
- ExternalMetricStatus.scala
- Supertypes
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trait Producttrait Mirrorclass Objecttrait Matchableclass Any
- Self type
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ExternalMetricStatus.type
HPAScalingPolicy is a single policy which must hold true for a specified past interval.
HPAScalingPolicy is a single policy which must hold true for a specified past interval.
Attributes
- Companion
- object
- Source
- HPAScalingPolicy.scala
- Supertypes
Attributes
- Companion
- class
- Source
- HPAScalingPolicy.scala
- Supertypes
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trait Producttrait Mirrorclass Objecttrait Matchableclass Any
- Self type
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HPAScalingPolicy.type
HPAScalingRules configures the scaling behavior for one direction.
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.
Attributes
- Companion
- object
- Source
- HPAScalingRules.scala
- Supertypes
Attributes
- Companion
- class
- Source
- HPAScalingRules.scala
- Supertypes
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trait Producttrait Mirrorclass Objecttrait Matchableclass Any
- Self type
-
HPAScalingRules.type
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.
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.
Attributes
- Companion
- object
- Source
- HorizontalPodAutoscaler.scala
- Supertypes
Attributes
- Companion
- class
- Source
- HorizontalPodAutoscaler.scala
- Supertypes
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trait Producttrait Mirrorclass Objecttrait Matchableclass Any
- Self type
HorizontalPodAutoscalerBehavior configures the scaling behavior of the target in both Up and Down directions (scaleUp and scaleDown fields respectively).
HorizontalPodAutoscalerBehavior configures the scaling behavior of the target in both Up and Down directions (scaleUp and scaleDown fields respectively).
Attributes
- Companion
- object
- Source
- HorizontalPodAutoscalerBehavior.scala
- Supertypes
Attributes
- Companion
- class
- Source
- HorizontalPodAutoscalerBehavior.scala
- Supertypes
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trait Producttrait Mirrorclass Objecttrait Matchableclass Any
- Self type
HorizontalPodAutoscalerCondition describes the state of a HorizontalPodAutoscaler at a certain point.
HorizontalPodAutoscalerCondition describes the state of a HorizontalPodAutoscaler at a certain point.
Attributes
- Companion
- object
- Source
- HorizontalPodAutoscalerCondition.scala
- Supertypes
Attributes
- Companion
- class
- Source
- HorizontalPodAutoscalerCondition.scala
- Supertypes
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trait Producttrait Mirrorclass Objecttrait Matchableclass Any
- Self type
HorizontalPodAutoscalerList is a list of horizontal pod autoscaler objects.
HorizontalPodAutoscalerList is a list of horizontal pod autoscaler objects.
Attributes
- Companion
- object
- Source
- HorizontalPodAutoscalerList.scala
- Supertypes
Attributes
- Companion
- class
- Source
- HorizontalPodAutoscalerList.scala
- Supertypes
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trait Producttrait Mirrorclass Objecttrait Matchableclass Any
- Self type
HorizontalPodAutoscalerSpec describes the desired functionality of the HorizontalPodAutoscaler.
HorizontalPodAutoscalerSpec describes the desired functionality of the HorizontalPodAutoscaler.
Attributes
- Companion
- object
- Source
- HorizontalPodAutoscalerSpec.scala
- Supertypes
Attributes
- Companion
- class
- Source
- HorizontalPodAutoscalerSpec.scala
- Supertypes
-
trait Producttrait Mirrorclass Objecttrait Matchableclass Any
- Self type
HorizontalPodAutoscalerStatus describes the current status of a horizontal pod autoscaler.
HorizontalPodAutoscalerStatus describes the current status of a horizontal pod autoscaler.
Attributes
- Companion
- object
- Source
- HorizontalPodAutoscalerStatus.scala
- Supertypes
Attributes
- Companion
- class
- Source
- HorizontalPodAutoscalerStatus.scala
- Supertypes
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trait Producttrait Mirrorclass Objecttrait Matchableclass Any
- Self type
MetricIdentifier defines the name and optionally selector for a metric
MetricIdentifier defines the name and optionally selector for a metric
Attributes
- Companion
- object
- Source
- MetricIdentifier.scala
- Supertypes
Attributes
- Companion
- class
- Source
- MetricIdentifier.scala
- Supertypes
-
trait Producttrait Mirrorclass Objecttrait Matchableclass Any
- Self type
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MetricIdentifier.type
MetricSpec specifies how to scale based on a single metric (only type
and one other matching field should be set at once).
MetricSpec specifies how to scale based on a single metric (only type
and one other matching field should be set at once).
Attributes
- Companion
- object
- Source
- MetricSpec.scala
- Supertypes
Attributes
- Companion
- class
- Source
- MetricSpec.scala
- Supertypes
-
trait Producttrait Mirrorclass Objecttrait Matchableclass Any
- Self type
-
MetricSpec.type
MetricStatus describes the last-read state of a single metric.
MetricStatus describes the last-read state of a single metric.
Attributes
- Companion
- object
- Source
- MetricStatus.scala
- Supertypes
Attributes
- Companion
- class
- Source
- MetricStatus.scala
- Supertypes
-
trait Producttrait Mirrorclass Objecttrait Matchableclass Any
- Self type
-
MetricStatus.type
MetricTarget defines the target value, average value, or average utilization of a specific metric
MetricTarget defines the target value, average value, or average utilization of a specific metric
Attributes
- Companion
- object
- Source
- MetricTarget.scala
- Supertypes
Attributes
- Companion
- class
- Source
- MetricTarget.scala
- Supertypes
-
trait Producttrait Mirrorclass Objecttrait Matchableclass Any
- Self type
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MetricTarget.type
MetricValueStatus holds the current value for a metric
MetricValueStatus holds the current value for a metric
Attributes
- Companion
- object
- Source
- MetricValueStatus.scala
- Supertypes
Attributes
- Companion
- class
- Source
- MetricValueStatus.scala
- Supertypes
-
trait Producttrait Mirrorclass Objecttrait Matchableclass Any
- Self type
-
MetricValueStatus.type
ObjectMetricSource indicates how to scale on a metric describing a kubernetes object (for example, hits-per-second on an Ingress object).
ObjectMetricSource indicates how to scale on a metric describing a kubernetes object (for example, hits-per-second on an Ingress object).
Attributes
- Companion
- object
- Source
- ObjectMetricSource.scala
- Supertypes
Attributes
- Companion
- class
- Source
- ObjectMetricSource.scala
- Supertypes
-
trait Producttrait Mirrorclass Objecttrait Matchableclass Any
- Self type
-
ObjectMetricSource.type
ObjectMetricStatus indicates the current value of a metric describing a kubernetes object (for example, hits-per-second on an Ingress object).
ObjectMetricStatus indicates the current value of a metric describing a kubernetes object (for example, hits-per-second on an Ingress object).
Attributes
- Companion
- object
- Source
- ObjectMetricStatus.scala
- Supertypes
Attributes
- Companion
- class
- Source
- ObjectMetricStatus.scala
- Supertypes
-
trait Producttrait Mirrorclass Objecttrait Matchableclass Any
- Self type
-
ObjectMetricStatus.type
PodsMetricSource indicates how to scale on a metric describing each pod in the current scale target (for example, transactions-processed-per-second).
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.
Attributes
- Companion
- object
- Source
- PodsMetricSource.scala
- Supertypes
Attributes
- Companion
- class
- Source
- PodsMetricSource.scala
- Supertypes
-
trait Producttrait Mirrorclass Objecttrait Matchableclass Any
- Self type
-
PodsMetricSource.type
PodsMetricStatus indicates the current value of a metric describing each pod in the current scale target (for example, transactions-processed-per-second).
PodsMetricStatus indicates the current value of a metric describing each pod in the current scale target (for example, transactions-processed-per-second).
Attributes
- Companion
- object
- Source
- PodsMetricStatus.scala
- Supertypes
Attributes
- Companion
- class
- Source
- PodsMetricStatus.scala
- Supertypes
-
trait Producttrait Mirrorclass Objecttrait Matchableclass Any
- Self type
-
PodsMetricStatus.type
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.
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.
Attributes
- Companion
- object
- Source
- ResourceMetricSource.scala
- Supertypes
Attributes
- Companion
- class
- Source
- ResourceMetricSource.scala
- Supertypes
-
trait Producttrait Mirrorclass Objecttrait Matchableclass Any
- Self type
-
ResourceMetricSource.type
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.
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.
Attributes
- Companion
- object
- Source
- ResourceMetricStatus.scala
- Supertypes
Attributes
- Companion
- class
- Source
- ResourceMetricStatus.scala
- Supertypes
-
trait Producttrait Mirrorclass Objecttrait Matchableclass Any
- Self type
-
ResourceMetricStatus.type