{ "description": "HorizontalPodAutoscalerSpec describes the desired functionality of the HorizontalPodAutoscaler.", "properties": { "behavior": { "description": "HorizontalPodAutoscalerBehavior configures the scaling behavior of the target in both Up and Down directions (scaleUp and scaleDown fields respectively).", "properties": { "scaleDown": { "description": "HPAScalingRules configures the scaling behavior for one direction via scaling Policy Rules and a configurable metric tolerance.\n\nScaling Policy 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.\n\nThe tolerance is applied to the metric values and prevents scaling too eagerly for small metric variations. (Note that setting a tolerance requires the beta HPAConfigurableTolerance feature gate to be enabled.)", "properties": { "policies": { "description": "policies is a list of potential scaling polices which can be used during scaling. If not set, use the default values: - For scale up: allow doubling the number of pods, or an absolute change of 4 pods in a 15s window. - For scale down: allow all pods to be removed in a 15s window.", "items": { "description": "HPAScalingPolicy is a single policy which must hold true for a specified past interval.", "properties": { "periodSeconds": { "description": "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).", "format": "int32", "type": "integer" }, "type": { "description": "type is used to specify the scaling policy.", "type": "string" }, "value": { "description": "value contains the amount of change which is permitted by the policy. It must be greater than zero", "format": "int32", "type": "integer" } }, "required": [ "type", "value", "periodSeconds" ], "type": [ "object", "null" ], "additionalProperties": false }, "type": [ "array", "null" ], "x-kubernetes-list-type": "atomic" }, "selectPolicy": { "description": "selectPolicy is used to specify which policy should be used. If not set, the default value Max is used.", "type": [ "string", "null" ] }, "stabilizationWindowSeconds": { "description": "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).", "format": "int32", "type": [ "integer", "null" ] }, "tolerance": { "oneOf": [ { "type": [ "string", "null" ] }, { "type": [ "number", "null" ] } ] } }, "type": [ "object", "null" ], "additionalProperties": false }, "scaleUp": { "description": "HPAScalingRules configures the scaling behavior for one direction via scaling Policy Rules and a configurable metric tolerance.\n\nScaling Policy 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.\n\nThe tolerance is applied to the metric values and prevents scaling too eagerly for small metric variations. (Note that setting a tolerance requires the beta HPAConfigurableTolerance feature gate to be enabled.)", "properties": { "policies": { "description": "policies is a list of potential scaling polices which can be used during scaling. If not set, use the default values: - For scale up: allow doubling the number of pods, or an absolute change of 4 pods in a 15s window. - For scale down: allow all pods to be removed in a 15s window.", "items": { "description": "HPAScalingPolicy is a single policy which must hold true for a specified past interval.", "properties": { "periodSeconds": { "description": "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).", "format": "int32", "type": "integer" }, "type": { "description": "type is used to specify the scaling policy.", "type": "string" }, "value": { "description": "value contains the amount of change which is permitted by the policy. It must be greater than zero", "format": "int32", "type": "integer" } }, "required": [ "type", "value", "periodSeconds" ], "type": [ "object", "null" ], "additionalProperties": false }, "type": [ "array", "null" ], "x-kubernetes-list-type": "atomic" }, "selectPolicy": { "description": "selectPolicy is used to specify which policy should be used. If not set, the default value Max is used.", "type": [ "string", "null" ] }, "stabilizationWindowSeconds": { "description": "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).", "format": "int32", "type": [ "integer", "null" ] }, "tolerance": { "oneOf": [ { "type": [ "string", "null" ] }, { "type": [ "number", "null" ] } ] } }, "type": [ "object", "null" ], "additionalProperties": false } }, "type": [ "object", "null" ], "additionalProperties": false }, "maxReplicas": { "description": "maxReplicas is the upper limit for the number of replicas to which the autoscaler can scale up. It cannot be less that minReplicas.", "format": "int32", "type": [ "integer", "null" ] }, "metrics": { "description": "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.", "items": { "description": "MetricSpec specifies how to scale based on a single metric (only `type` and one other matching field should be set at once).", "properties": { "containerResource": { "description": "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.", "properties": { "container": { "description": "container is the name of the container in the pods of the scaling target", "type": "string" }, "name": { "description": "name is the name of the resource in question.", "type": "string" }, "target": { "description": "MetricTarget defines the target value, average value, or average utilization of a specific metric", "properties": { "averageUtilization": { "description": "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", "format": "int32", "type": [ "integer", "null" ] }, "averageValue": { "oneOf": [ { "type": [ "string", "null" ] }, { "type": [ "number", "null" ] } ] }, "type": { "description": "type represents whether the metric type is Utilization, Value, or AverageValue", "type": "string" }, "value": { "oneOf": [ { "type": [ "string", "null" ] }, { "type": [ "number", "null" ] } ] } }, "required": [ "type" ], "type": "object", "additionalProperties": false } }, "required": [ "name", "target", "container" ], "type": [ "object", "null" ], "additionalProperties": false }, "external": { "description": "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).", "properties": { "metric": { "description": "MetricIdentifier defines the name and optionally selector for a metric", "properties": { "name": { "description": "name is the name of the given metric", "type": "string" }, "selector": { "description": "A label selector is a label query over a set of resources. The result of matchLabels and matchExpressions are ANDed. An empty label selector matches all objects. A null label selector matches no objects.", "properties": { "matchExpressions": { "description": "matchExpressions is a list of label selector requirements. The requirements are ANDed.", "items": { "description": "A label selector requirement is a selector that contains values, a key, and an operator that relates the key and values.", "properties": { "key": { "description": "key is the label key that the selector applies to.", "type": "string" }, "operator": { "description": "operator represents a key's relationship to a set of values. Valid operators are In, NotIn, Exists and DoesNotExist.", "type": "string" }, "values": { "description": "values is an array of string values. If the operator is In or NotIn, the values array must be non-empty. If the operator is Exists or DoesNotExist, the values array must be empty. This array is replaced during a strategic merge patch.", "items": { "type": [ "string", "null" ] }, "type": [ "array", "null" ], "x-kubernetes-list-type": "atomic" } }, "required": [ "key", "operator" ], "type": [ "object", "null" ], "additionalProperties": false }, "type": [ "array", "null" ], "x-kubernetes-list-type": "atomic" }, "matchLabels": { "additionalProperties": { "type": [ "string", "null" ] }, "description": "matchLabels is a map of {key,value} pairs. A single {key,value} in the matchLabels map is equivalent to an element of matchExpressions, whose key field is \"key\", the operator is \"In\", and the values array contains only \"value\". The requirements are ANDed.", "type": [ "object", "null" ] } }, "type": [ "object", "null" ], "x-kubernetes-map-type": "atomic", "additionalProperties": false } }, "required": [ "name" ], "type": "object", "additionalProperties": false }, "target": { "description": "MetricTarget defines the target value, average value, or average utilization of a specific metric", "properties": { "averageUtilization": { "description": "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", "format": "int32", "type": [ "integer", "null" ] }, "averageValue": { "oneOf": [ { "type": [ "string", "null" ] }, { "type": [ "number", "null" ] } ] }, "type": { "description": "type represents whether the metric type is Utilization, Value, or AverageValue", "type": "string" }, "value": { "oneOf": [ { "type": [ "string", "null" ] }, { "type": [ "number", "null" ] } ] } }, "required": [ "type" ], "type": "object", "additionalProperties": false } }, "required": [ "metric", "target" ], "type": [ "object", "null" ], "additionalProperties": false }, "object": { "description": "ObjectMetricSource indicates how to scale on a metric describing a kubernetes object (for example, hits-per-second on an Ingress object).", "properties": { "describedObject": { "description": "CrossVersionObjectReference contains enough information to let you identify the referred resource.", "properties": { "apiVersion": { "description": "apiVersion is the API version of the referent", "type": [ "string", "null" ] }, "kind": { "description": "kind is the kind of the referent; More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#types-kinds", "type": "string" }, "name": { "description": "name is the name of the referent; More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names", "type": "string" } }, "required": [ "kind", "name" ], "type": "object", "additionalProperties": false }, "metric": { "description": "MetricIdentifier defines the name and optionally selector for a metric", "properties": { "name": { "description": "name is the name of the given metric", "type": "string" }, "selector": { "description": "A label selector is a label query over a set of resources. The result of matchLabels and matchExpressions are ANDed. An empty label selector matches all objects. A null label selector matches no objects.", "properties": { "matchExpressions": { "description": "matchExpressions is a list of label selector requirements. The requirements are ANDed.", "items": { "description": "A label selector requirement is a selector that contains values, a key, and an operator that relates the key and values.", "properties": { "key": { "description": "key is the label key that the selector applies to.", "type": "string" }, "operator": { "description": "operator represents a key's relationship to a set of values. Valid operators are In, NotIn, Exists and DoesNotExist.", "type": "string" }, "values": { "description": "values is an array of string values. If the operator is In or NotIn, the values array must be non-empty. If the operator is Exists or DoesNotExist, the values array must be empty. This array is replaced during a strategic merge patch.", "items": { "type": [ "string", "null" ] }, "type": [ "array", "null" ], "x-kubernetes-list-type": "atomic" } }, "required": [ "key", "operator" ], "type": [ "object", "null" ], "additionalProperties": false }, "type": [ "array", "null" ], "x-kubernetes-list-type": "atomic" }, "matchLabels": { "additionalProperties": { "type": [ "string", "null" ] }, "description": "matchLabels is a map of {key,value} pairs. A single {key,value} in the matchLabels map is equivalent to an element of matchExpressions, whose key field is \"key\", the operator is \"In\", and the values array contains only \"value\". The requirements are ANDed.", "type": [ "object", "null" ] } }, "type": [ "object", "null" ], "x-kubernetes-map-type": "atomic", "additionalProperties": false } }, "required": [ "name" ], "type": "object", "additionalProperties": false }, "target": { "description": "MetricTarget defines the target value, average value, or average utilization of a specific metric", "properties": { "averageUtilization": { "description": "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", "format": "int32", "type": [ "integer", "null" ] }, "averageValue": { "oneOf": [ { "type": [ "string", "null" ] }, { "type": [ "number", "null" ] } ] }, "type": { "description": "type represents whether the metric type is Utilization, Value, or AverageValue", "type": "string" }, "value": { "oneOf": [ { "type": [ "string", "null" ] }, { "type": [ "number", "null" ] } ] } }, "required": [ "type" ], "type": "object", "additionalProperties": false } }, "required": [ "describedObject", "target", "metric" ], "type": [ "object", "null" ], "additionalProperties": false }, "pods": { "description": "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.", "properties": { "metric": { "description": "MetricIdentifier defines the name and optionally selector for a metric", "properties": { "name": { "description": "name is the name of the given metric", "type": "string" }, "selector": { "description": "A label selector is a label query over a set of resources. The result of matchLabels and matchExpressions are ANDed. An empty label selector matches all objects. A null label selector matches no objects.", "properties": { "matchExpressions": { "description": "matchExpressions is a list of label selector requirements. The requirements are ANDed.", "items": { "description": "A label selector requirement is a selector that contains values, a key, and an operator that relates the key and values.", "properties": { "key": { "description": "key is the label key that the selector applies to.", "type": "string" }, "operator": { "description": "operator represents a key's relationship to a set of values. Valid operators are In, NotIn, Exists and DoesNotExist.", "type": "string" }, "values": { "description": "values is an array of string values. If the operator is In or NotIn, the values array must be non-empty. If the operator is Exists or DoesNotExist, the values array must be empty. This array is replaced during a strategic merge patch.", "items": { "type": [ "string", "null" ] }, "type": [ "array", "null" ], "x-kubernetes-list-type": "atomic" } }, "required": [ "key", "operator" ], "type": [ "object", "null" ], "additionalProperties": false }, "type": [ "array", "null" ], "x-kubernetes-list-type": "atomic" }, "matchLabels": { "additionalProperties": { "type": [ "string", "null" ] }, "description": "matchLabels is a map of {key,value} pairs. A single {key,value} in the matchLabels map is equivalent to an element of matchExpressions, whose key field is \"key\", the operator is \"In\", and the values array contains only \"value\". The requirements are ANDed.", "type": [ "object", "null" ] } }, "type": [ "object", "null" ], "x-kubernetes-map-type": "atomic", "additionalProperties": false } }, "required": [ "name" ], "type": "object", "additionalProperties": false }, "target": { "description": "MetricTarget defines the target value, average value, or average utilization of a specific metric", "properties": { "averageUtilization": { "description": "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", "format": "int32", "type": [ "integer", "null" ] }, "averageValue": { "oneOf": [ { "type": [ "string", "null" ] }, { "type": [ "number", "null" ] } ] }, "type": { "description": "type represents whether the metric type is Utilization, Value, or AverageValue", "type": "string" }, "value": { "oneOf": [ { "type": [ "string", "null" ] }, { "type": [ "number", "null" ] } ] } }, "required": [ "type" ], "type": "object", "additionalProperties": false } }, "required": [ "metric", "target" ], "type": [ "object", "null" ], "additionalProperties": false }, "resource": { "description": "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.", "properties": { "name": { "description": "name is the name of the resource in question.", "type": "string" }, "target": { "description": "MetricTarget defines the target value, average value, or average utilization of a specific metric", "properties": { "averageUtilization": { "description": "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", "format": "int32", "type": [ "integer", "null" ] }, "averageValue": { "oneOf": [ { "type": [ "string", "null" ] }, { "type": [ "number", "null" ] } ] }, "type": { "description": "type represents whether the metric type is Utilization, Value, or AverageValue", "type": "string" }, "value": { "oneOf": [ { "type": [ "string", "null" ] }, { "type": [ "number", "null" ] } ] } }, "required": [ "type" ], "type": "object", "additionalProperties": false } }, "required": [ "name", "target" ], "type": [ "object", "null" ], "additionalProperties": false }, "type": { "description": "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.", "type": "string" } }, "required": [ "type" ], "type": [ "object", "null" ], "additionalProperties": false }, "type": [ "array", "null" ], "x-kubernetes-list-type": "atomic" }, "minReplicas": { "description": "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.", "format": "int32", "type": [ "integer", "null" ] }, "scaleTargetRef": { "description": "CrossVersionObjectReference contains enough information to let you identify the referred resource.", "properties": { "apiVersion": { "description": "apiVersion is the API version of the referent", "type": [ "string", "null" ] }, "kind": { "description": "kind is the kind of the referent; More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#types-kinds", "type": "string" }, "name": { "description": "name is the name of the referent; More info: https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#names", "type": "string" } }, "required": [ "kind", "name" ], "type": [ "object", "null" ], "additionalProperties": false } }, "required": [ "scaleTargetRef", "maxReplicas" ], "type": "object", "additionalProperties": false, "$schema": "http://json-schema.org/schema#" }