com.coralogix.zio.k8s.model.autoscaling.v2beta2
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. 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.
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.
- Value Params
- container
container is the name of the container in the pods of the scaling target
- name
name is the name of the resource in question.
- Companion
- object
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.
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.
- Value Params
- container
Container is the name of the container in the pods of the scaling target
- name
Name is the name of the resource in question.
- Companion
- object
CrossVersionObjectReference contains enough information to let you identify the referred resource.
CrossVersionObjectReference contains enough information to let you identify the referred resource.
- Value Params
- apiVersion
API version of the referent
- kind
Kind of the referent; More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#types-kinds"
- name
Name of the referent; More info: http://kubernetes.io/docs/user-guide/identifiers#names
- Companion
- object
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).
- Companion
- object
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.
- Companion
- object
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.
- Value Params
- periodSeconds
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
Type is used to specify the scaling policy.
- value
Value contains the amount of change which is permitted by the policy. It must be greater than zero
- Companion
- 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.
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.
- Value Params
- policies
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
- selectPolicy
selectPolicy is used to specify which policy should be used. If not set, the default value MaxPolicySelect is used.
- stabilizationWindowSeconds
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).
- Companion
- object
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.
- Companion
- object
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).
- Companion
- object
HorizontalPodAutoscalerCondition describes the state of a HorizontalPodAutoscaler at a certain point.
HorizontalPodAutoscalerCondition describes the state of a HorizontalPodAutoscaler at a certain point.
- Value Params
- message
message is a human-readable explanation containing details about the transition
- reason
reason is the reason for the condition's last transition.
- status
status is the status of the condition (True, False, Unknown)
- type
type describes the current condition
- Companion
- object
HorizontalPodAutoscalerSpec describes the desired functionality of the HorizontalPodAutoscaler.
HorizontalPodAutoscalerSpec describes the desired functionality of the HorizontalPodAutoscaler.
- Value Params
- maxReplicas
maxReplicas is the upper limit for the number of replicas to which the autoscaler can scale up. It cannot be less that minReplicas.
- metrics
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.
- minReplicas
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.
- Companion
- object
HorizontalPodAutoscalerStatus describes the current status of a horizontal pod autoscaler.
HorizontalPodAutoscalerStatus describes the current status of a horizontal pod autoscaler.
- Value Params
- conditions
conditions is the set of conditions required for this autoscaler to scale its target, and indicates whether or not those conditions are met.
- currentMetrics
currentMetrics is the last read state of the metrics used by this autoscaler.
- currentReplicas
currentReplicas is current number of replicas of pods managed by this autoscaler, as last seen by the autoscaler.
- desiredReplicas
desiredReplicas is the desired number of replicas of pods managed by this autoscaler, as last calculated by the autoscaler.
- observedGeneration
observedGeneration is the most recent generation observed by this autoscaler.
- Companion
- object
MetricIdentifier defines the name and optionally selector for a metric
MetricIdentifier defines the name and optionally selector for a metric
- Value Params
- name
name is the name of the given metric
- Companion
- object
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).
- Value Params
- type
type is the type of metric source. It should be one of "ContainerResource", "External", "Object", "Pods" or "Resource", each mapping to a matching field in the object. Note: "ContainerResource" type is available on when the feature-gate HPAContainerMetrics is enabled
- Companion
- object
MetricStatus describes the last-read state of a single metric.
MetricStatus describes the last-read state of a single metric.
- Value Params
- type
type is the type of metric source. It will be one of "ContainerResource", "External", "Object", "Pods" or "Resource", each corresponds to a matching field in the object. Note: "ContainerResource" type is available on when the feature-gate HPAContainerMetrics is enabled
- Companion
- object
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
- Value Params
- averageUtilization
averageUtilization 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. Currently only valid for Resource metric source type
- type
type represents whether the metric type is Utilization, Value, or AverageValue
- Companion
- object
MetricValueStatus holds the current value for a metric
MetricValueStatus holds the current value for a metric
- Value Params
- averageUtilization
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.
- Companion
- object
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).
- Companion
- object
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).
- Companion
- object
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.
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.
- Companion
- object
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).
- Companion
- object
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.
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.
- Value Params
- name
name is the name of the resource in question.
- Companion
- object
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.
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.
- Value Params
- name
Name is the name of the resource in question.
- Companion
- object