"":"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.",
"name":"name is the name of the resource in question.",
"targetAverageUtilization":"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.",
"targetAverageValue":"targetAverageValue is 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.",
"container":"container is the name of the container in the pods of the scaling target",
"":"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.",
"name":"name is the name of the resource in question.",
"currentAverageUtilization":"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.",
"currentAverageValue":"currentAverageValue is 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.",
"container":"container is the name of the container in the pods of the scaling target",
"":"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). Exactly one \"target\" type should be set.",
"metricName":"metricName is the name of the metric in question.",
"metricSelector":"metricSelector is used to identify a specific time series within a given metric.",
"targetValue":"targetValue is the target value of the metric (as a quantity). Mutually exclusive with TargetAverageValue.",
"targetAverageValue":"targetAverageValue is the target per-pod value of global metric (as a quantity). Mutually exclusive with TargetValue.",
"":"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.",
"metadata":"metadata is the standard object metadata. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#metadata",
"spec":"spec is the specification for the behaviour of the autoscaler. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#spec-and-status.",
"":"HorizontalPodAutoscalerSpec describes the desired functionality of the HorizontalPodAutoscaler.",
"scaleTargetRef":"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.",
"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.",
"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.",
"":"HorizontalPodAutoscalerStatus describes the current status of a horizontal pod autoscaler.",
"observedGeneration":"observedGeneration is the most recent generation observed by this autoscaler.",
"lastScaleTime":"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.",
"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.",
"currentMetrics":"currentMetrics is the last read state of the metrics used by this autoscaler.",
"conditions":"conditions is the set of conditions required for this autoscaler to scale its target, and indicates whether or not those conditions are met.",
"":"MetricSpec specifies how to scale based on a single metric (only `type` and one other matching field should be set at once).",
"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",
"object":"object refers to a metric describing a single kubernetes object (for example, hits-per-second on an Ingress object).",
"pods":"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.",
"resource":"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.",
"containerResource":"container resource refers to a resource metric (such as those specified in requests and limits) known to Kubernetes describing a single container in each pod of 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. This is an alpha feature and can be enabled by the HPAContainerMetrics feature flag.",
"external":"external refers to a global metric that is not associated with any Kubernetes object. It allows autoscaling based on information coming from components running outside of cluster (for example length of queue in cloud messaging service, or QPS from loadbalancer running outside of cluster).",
"":"MetricStatus describes the last-read state of a single metric.",
"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",
"object":"object refers to a metric describing a single kubernetes object (for example, hits-per-second on an Ingress object).",
"pods":"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.",
"resource":"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.",
"containerResource":"container resource refers to a resource metric (such as those specified in requests and limits) known to Kubernetes 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.",
"external":"external refers to a global metric that is not associated with any Kubernetes object. It allows autoscaling based on information coming from components running outside of cluster (for example length of queue in cloud messaging service, or QPS from loadbalancer running outside of cluster).",
"":"ObjectMetricSource indicates how to scale on a metric describing a kubernetes object (for example, hits-per-second on an Ingress object).",
"target":"target is the described Kubernetes object.",
"metricName":"metricName is the name of the metric in question.",
"targetValue":"targetValue is the target value of the metric (as a quantity).",
"selector":"selector is the string-encoded form of a standard kubernetes label selector for the given metric When set, it is passed as an additional parameter to the metrics server for more specific metrics scoping When unset, just the metricName will be used to gather metrics.",
"averageValue":"averageValue is the target value of the average of the metric across all relevant pods (as a quantity)",
"selector":"selector is the string-encoded form of a standard kubernetes label selector for the given metric When set in the ObjectMetricSource, it is passed as an additional parameter to the metrics server for more specific metrics scoping. When unset, just the metricName will be used to gather metrics.",
"averageValue":"averageValue is the current value of the average of the metric across all relevant pods (as a 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.",
"metricName":"metricName is the name of the metric in question",
"targetAverageValue":"targetAverageValue is the target value of the average of the metric across all relevant pods (as a quantity)",
"selector":"selector is the string-encoded form of a standard kubernetes label selector for the given metric When set, it is passed as an additional parameter to the metrics server for more specific metrics scoping When unset, just the metricName will be used to gather metrics.",
"":"PodsMetricStatus indicates the current value of a metric describing each pod in the current scale target (for example, transactions-processed-per-second).",
"metricName":"metricName is the name of the metric in question",
"currentAverageValue":"currentAverageValue is the current value of the average of the metric across all relevant pods (as a quantity)",
"selector":"selector is the string-encoded form of a standard kubernetes label selector for the given metric When set in the PodsMetricSource, it is passed as an additional parameter to the metrics server for more specific metrics scoping. When unset, just the metricName will be used to gather metrics.",
"":"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.",
"name":"name is the name of the resource in question.",
"targetAverageUtilization":"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.",
"targetAverageValue":"targetAverageValue is 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.",
"":"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.",
"name":"name is the name of the resource in question.",
"currentAverageUtilization":"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.",
"currentAverageValue":"currentAverageValue is 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.",