autoscaling

package
v1.7.0-alpha.2 Latest Latest
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 Go to latest Published: Apr 19, 2017 License: Apache-2.0 Imports: 7 Imported by: 0

Documentation

Index

Constants

View Source 
const DefaultCPUUtilization = 80

DefaultCPUUtilization is the default value for CPU utilization, provided no other metrics are present. This is here because it's used by both the v2alpha1 defaulting logic, and the pseudo-defaulting done in v1 conversion.

View Source 
const GroupName = "autoscaling"

GroupName is the group name use in this package

View Source 
const MetricSpecsAnnotation = "autoscaling.alpha.kubernetes.io/metrics"

MetricSpecsAnnotation is the annotation which holds non-CPU-utilization HPA metric specs when converting the `Metrics` field from autoscaling/v2alpha1

View Source 
const MetricStatusesAnnotation = "autoscaling.alpha.kubernetes.io/current-metrics"

MetricStatusesAnnotation is the annotation which holds non-CPU-utilization HPA metric statuses when converting the `CurrentMetrics` field from autoscaling/v2alpha1

Variables

View Source 
var (
	SchemeBuilder = runtime.NewSchemeBuilder(addKnownTypes)
	AddToScheme   = SchemeBuilder.AddToScheme
)
View Source 
var SchemeGroupVersion = schema.GroupVersion{Group: GroupName, Version: runtime.APIVersionInternal}

SchemeGroupVersion is group version used to register these objects

Functions

func DeepCopy_autoscaling_CrossVersionObjectReference added in v1.3.0 

func DeepCopy_autoscaling_CrossVersionObjectReference(in interface{}, out interface{}, c *conversion.Cloner) error

func DeepCopy_autoscaling_HorizontalPodAutoscaler added in v1.3.0 

func DeepCopy_autoscaling_HorizontalPodAutoscaler(in interface{}, out interface{}, c *conversion.Cloner) error

func DeepCopy_autoscaling_HorizontalPodAutoscalerList added in v1.3.0 

func DeepCopy_autoscaling_HorizontalPodAutoscalerList(in interface{}, out interface{}, c *conversion.Cloner) error

func DeepCopy_autoscaling_HorizontalPodAutoscalerSpec added in v1.3.0 

func DeepCopy_autoscaling_HorizontalPodAutoscalerSpec(in interface{}, out interface{}, c *conversion.Cloner) error

func DeepCopy_autoscaling_HorizontalPodAutoscalerStatus added in v1.3.0 

func DeepCopy_autoscaling_HorizontalPodAutoscalerStatus(in interface{}, out interface{}, c *conversion.Cloner) error

func DeepCopy_autoscaling_MetricSpec 

func DeepCopy_autoscaling_MetricSpec(in interface{}, out interface{}, c *conversion.Cloner) error

func DeepCopy_autoscaling_MetricStatus 

func DeepCopy_autoscaling_MetricStatus(in interface{}, out interface{}, c *conversion.Cloner) error

func DeepCopy_autoscaling_ObjectMetricSource 

func DeepCopy_autoscaling_ObjectMetricSource(in interface{}, out interface{}, c *conversion.Cloner) error

func DeepCopy_autoscaling_ObjectMetricStatus 

func DeepCopy_autoscaling_ObjectMetricStatus(in interface{}, out interface{}, c *conversion.Cloner) error

func DeepCopy_autoscaling_PodsMetricSource 

func DeepCopy_autoscaling_PodsMetricSource(in interface{}, out interface{}, c *conversion.Cloner) error

func DeepCopy_autoscaling_PodsMetricStatus 

func DeepCopy_autoscaling_PodsMetricStatus(in interface{}, out interface{}, c *conversion.Cloner) error

func DeepCopy_autoscaling_ResourceMetricSource 

func DeepCopy_autoscaling_ResourceMetricSource(in interface{}, out interface{}, c *conversion.Cloner) error

func DeepCopy_autoscaling_ResourceMetricStatus 

func DeepCopy_autoscaling_ResourceMetricStatus(in interface{}, out interface{}, c *conversion.Cloner) error

func DeepCopy_autoscaling_Scale added in v1.3.0 

func DeepCopy_autoscaling_Scale(in interface{}, out interface{}, c *conversion.Cloner) error

func DeepCopy_autoscaling_ScaleSpec added in v1.3.0 

func DeepCopy_autoscaling_ScaleSpec(in interface{}, out interface{}, c *conversion.Cloner) error

func DeepCopy_autoscaling_ScaleStatus added in v1.3.0 

func DeepCopy_autoscaling_ScaleStatus(in interface{}, out interface{}, c *conversion.Cloner) error

func Kind 

func Kind(kind string) schema.GroupKind

Kind takes an unqualified kind and returns a Group qualified GroupKind

func RegisterDeepCopies added in v1.4.0 

func RegisterDeepCopies(scheme *runtime.Scheme) error

RegisterDeepCopies adds deep-copy functions to the given scheme. Public to allow building arbitrary schemes.

func Resource 

func Resource(resource string) schema.GroupResource

Resource takes an unqualified resource and returns a Group qualified GroupResource

Types

type CrossVersionObjectReference added in v1.3.0 

type CrossVersionObjectReference struct {
	// Kind of the referent; More info: http://releases.k8s.io/HEAD/docs/devel/api-conventions.md#types-kinds"
	Kind string
	// Name of the referent; More info: http://kubernetes.io/docs/user-guide/identifiers#names
	Name string
	// API version of the referent
	// +optional
	APIVersion string
}

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

type HorizontalPodAutoscaler added in v1.3.0 

type HorizontalPodAutoscaler struct {
	metav1.TypeMeta
	// Metadata is the standard object metadata.
	// More info: http://releases.k8s.io/HEAD/docs/devel/api-conventions.md#metadata
	// +optional
	metav1.ObjectMeta

	// Spec is the specification for the behaviour of the autoscaler.
	// More info: http://releases.k8s.io/HEAD/docs/devel/api-conventions.md#spec-and-status.
	// +optional
	Spec HorizontalPodAutoscalerSpec

	// Status is the current information about the autoscaler.
	// +optional
	Status HorizontalPodAutoscalerStatus
}

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 HorizontalPodAutoscalerList added in v1.3.0 

type HorizontalPodAutoscalerList struct {
	metav1.TypeMeta
	// Metadata is the standard list metadata.
	// +optional
	metav1.ListMeta

	// Items is the list of horizontal pod autoscaler objects.
	Items []HorizontalPodAutoscaler
}

HorizontalPodAutoscaler is a list of horizontal pod autoscaler objects.

type HorizontalPodAutoscalerSpec added in v1.3.0 

type HorizontalPodAutoscalerSpec struct {
	// ScaleTargetRef points to the target resource to scale, and is used to the pods for which metrics
	// should be collected, as well as to actually change the replica count.
	ScaleTargetRef CrossVersionObjectReference
	// MinReplicas is the lower limit for the number of replicas to which the autoscaler can scale down.
	// It defaults to 1 pod.
	// +optional
	MinReplicas *int32
	// MaxReplicas is the upper limit for the number of replicas to which the autoscaler can scale up.
	// It cannot be less that minReplicas.
	MaxReplicas int32
	// 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.
	// +optional
	Metrics []MetricSpec
}

HorizontalPodAutoscalerSpec describes the desired functionality of the HorizontalPodAutoscaler.

type HorizontalPodAutoscalerStatus added in v1.3.0 

type HorizontalPodAutoscalerStatus struct {
	// ObservedGeneration is the most recent generation observed by this autoscaler.
	// +optional
	ObservedGeneration *int64

	// LastScaleTime is the last time the HorizontalPodAutoscaler scaled the number of pods,
	// used by the autoscaler to control how often the number of pods is changed.
	// +optional
	LastScaleTime *metav1.Time

	// CurrentReplicas is current number of replicas of pods managed by this autoscaler,
	// as last seen by the autoscaler.
	CurrentReplicas int32

	// DesiredReplicas is the desired number of replicas of pods managed by this autoscaler,
	// as last calculated by the autoscaler.
	DesiredReplicas int32

	// CurrentMetrics is the last read state of the metrics used by this autoscaler.
	CurrentMetrics []MetricStatus
}

HorizontalPodAutoscalerStatus describes the current status of a horizontal pod autoscaler.

type MetricSourceType 

type MetricSourceType string

MetricSourceType indicates the type of metric. 

var (
	// ObjectMetricSourceType is a metric describing a kubernetes object
	// (for example, hits-per-second on an Ingress object).
	ObjectMetricSourceType MetricSourceType = "Object"
	// PodsMetricSourceType is 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.
	PodsMetricSourceType MetricSourceType = "Pods"
	// ResourceMetricSourceType is 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 (the "pods" source).
	ResourceMetricSourceType MetricSourceType = "Resource"
)

type MetricSpec 

type MetricSpec struct {
	// Type is the type of metric source.  It should match one of the fields below.
	Type MetricSourceType

	// Object refers to a metric describing a single kubernetes object
	// (for example, hits-per-second on an Ingress object).
	// +optional
	Object *ObjectMetricSource
	// Pods refers to 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.
	// +optional
	Pods *PodsMetricSource
	// Resource refers to a resource metric (such as those specified in
	// requests and limits) known to Kubernetes 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.
	// +optional
	Resource *ResourceMetricSource
}

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

type MetricStatus 

type MetricStatus struct {
	// Type is the type of metric source.  It will match one of the fields below.
	Type MetricSourceType

	// Object refers to a metric describing a single kubernetes object
	// (for example, hits-per-second on an Ingress object).
	// +optional
	Object *ObjectMetricStatus
	// Pods refers to 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.
	// +optional
	Pods *PodsMetricStatus
	// Resource refers to a resource metric (such as those specified in
	// requests and limits) known to Kubernetes 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.
	// +optional
	Resource *ResourceMetricStatus
}

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

type ObjectMetricSource 

type ObjectMetricSource struct {
	// Target is the described Kubernetes object.
	Target CrossVersionObjectReference

	// MetricName is the name of the metric in question.
	MetricName string
	// TargetValue is the target value of the metric (as a quantity).
	TargetValue resource.Quantity
}

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

type ObjectMetricStatus 

type ObjectMetricStatus struct {
	// Target is the described Kubernetes object.
	Target CrossVersionObjectReference

	// MetricName is the name of the metric in question.
	MetricName string
	// CurrentValue is the current value of the metric (as a quantity).
	CurrentValue resource.Quantity
}

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

type PodsMetricSource 

type PodsMetricSource struct {
	// MetricName is the name of the metric in question
	MetricName string
	// TargetAverageValue is the target value of the average of the
	// metric across all relevant pods (as a quantity)
	TargetAverageValue resource.Quantity
}

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.

type PodsMetricStatus 

type PodsMetricStatus struct {
	// MetricName is the name of the metric in question
	MetricName string
	// CurrentAverageValue is the current value of the average of the
	// metric across all relevant pods (as a quantity)
	CurrentAverageValue resource.Quantity
}

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

type ResourceMetricSource 

type ResourceMetricSource struct {
	// Name is the name of the resource in question.
	Name api.ResourceName
	// TargetAverageUtilization is the target value of the average of the
	// resource metric across all relevant pods, represented as a percentage of
	// the requested value of the resource for the pods.
	// +optional
	TargetAverageUtilization *int32
	// TargetAverageValue is the the target value of the average of the
	// resource metric across all relevant pods, as a raw value (instead of as
	// a percentage of the request), similar to the "pods" metric source type.
	// +optional
	TargetAverageValue *resource.Quantity
}

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.

type ResourceMetricStatus 

type ResourceMetricStatus struct {
	// Name is the name of the resource in question.
	Name api.ResourceName
	// CurrentAverageUtilization is the current value of the average of the
	// resource metric across all relevant pods, represented as a percentage of
	// the requested value of the resource for the pods.  It will only be
	// present if `targetAverageValue` was set in the corresponding metric
	// specification.
	// +optional
	CurrentAverageUtilization *int32
	// CurrentAverageValue is the the current value of the average of the
	// resource metric across all relevant pods, as a raw value (instead of as
	// a percentage of the request), similar to the "pods" metric source type.
	// It will always be set, regardless of the corresponding metric specification.
	CurrentAverageValue resource.Quantity
}

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.

type Scale 

type Scale struct {
	metav1.TypeMeta
	// Standard object metadata; More info: http://releases.k8s.io/HEAD/docs/devel/api-conventions.md#metadata.
	// +optional
	metav1.ObjectMeta

	// defines the behavior of the scale. More info: http://releases.k8s.io/HEAD/docs/devel/api-conventions.md#spec-and-status.
	// +optional
	Spec ScaleSpec

	// current status of the scale. More info: http://releases.k8s.io/HEAD/docs/devel/api-conventions.md#spec-and-status. Read-only.
	// +optional
	Status ScaleStatus
}

Scale represents a scaling request for a resource.

type ScaleSpec 

type ScaleSpec struct {
	// desired number of instances for the scaled object.
	// +optional
	Replicas int32
}

ScaleSpec describes the attributes of a scale subresource.

type ScaleStatus 

type ScaleStatus struct {
	// actual number of observed instances of the scaled object.
	Replicas int32

	// label query over pods that should match the replicas count. This is same
	// as the label selector but in the string format to avoid introspection
	// by clients. The string will be in the same format as the query-param syntax.
	// More info: http://kubernetes.io/docs/user-guide/labels#label-selectors
	// +optional
	Selector string
}

ScaleStatus represents the current status of a scale subresource.

Source Files

View all Source files

Directories

Path Synopsis
Package install installs the experimental API group, making it available as an option to all of the API encoding/decoding machinery.
 Package install installs the experimental API group, making it available as an option to all of the API encoding/decoding machinery.
Package v1 is a generated protocol buffer package.
 Package v1 is a generated protocol buffer package.
Package v2alpha1 is a generated protocol buffer package.
 Package v2alpha1 is a generated protocol buffer package.

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