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common-protos/k8s.io/api/autoscaling/v2/generated.proto
// +optional repeated MetricSpec metrics = 4; // behavior configures the scaling behavior of the target // in both Up and Down directions (scaleUp and scaleDown fields respectively). // If not set, the default HPAScalingRules for scale up and scale down are used. // +optional optional HorizontalPodAutoscalerBehavior behavior = 5; }
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common-protos/k8s.io/api/autoscaling/v2beta2/generated.proto
// +optional repeated MetricSpec metrics = 4; // behavior configures the scaling behavior of the target // in both Up and Down directions (scaleUp and scaleDown fields respectively). // If not set, the default HPAScalingRules for scale up and scale down are used. // +optional optional HorizontalPodAutoscalerBehavior behavior = 5; }
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common-protos/k8s.io/api/apps/v1beta1/generated.proto
// status defines current status of the scale. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#spec-and-status. Read-only. // +optional optional ScaleStatus status = 3; } // ScaleSpec describes the attributes of a scale subresource message ScaleSpec { // replicas is the number of observed instances of the scaled object. // +optional optional int32 replicas = 1;
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common-protos/k8s.io/api/autoscaling/v1/generated.proto
message HorizontalPodAutoscalerSpec { // reference to scaled resource; horizontal pod autoscaler will learn the current resource consumption // and will set the desired number of pods by using its Scale subresource. optional CrossVersionObjectReference scaleTargetRef = 1; // 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
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docs/orchestration/README.md
MinIO is a cloud-native application designed to scale in a sustainable manner in multi-tenant environments. Orchestration platforms provide perfect launchpad for MinIO to scale. Below is the list of MinIO deployment documents for various orchestration platforms:
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common-protos/k8s.io/api/apps/v1beta2/generated.proto
optional ScaleSpec spec = 2; // current status of the scale. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#spec-and-status. Read-only. // +optional optional ScaleStatus status = 3; } // ScaleSpec describes the attributes of a scale subresource message ScaleSpec { // desired number of instances for the scaled object. // +optional optional int32 replicas = 1; }
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src/cmd/asm/internal/asm/parse.go
p.errorf("%s doesn't support scaled register format", p.arch.Name) } else { a.Scale = int16(scale) } } p.get(')') } else if scale != 0 { if p.arch.Family == sys.ARM64 { p.errorf("arm64 doesn't support scaled register format") } // First (R) was missing, all we have is (R*scale). a.Reg = 0 a.Index = r1 a.Scale = int16(scale) } }
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common-protos/k8s.io/api/autoscaling/v2beta1/generated.proto
// Package-wide variables from generator "generated". option go_package = "k8s.io/api/autoscaling/v2beta1"; // 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
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common-protos/k8s.io/api/apps/v1/generated.proto
// This can not be 0 if MaxSurge is 0. // Defaults to 25%. // Example: when this is set to 30%, the old ReplicaSet can be scaled down to 70% of desired pods // immediately when the rolling update starts. Once new pods are ready, old ReplicaSet // can be scaled down further, followed by scaling up the new ReplicaSet, ensuring // that the total number of pods available at all times during the update is at
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CHANGELOG/CHANGELOG-1.2.md
which is an integer. * ScaleRef of type SubresourceReference in HorizontalPodAutoscalerSpec which referred to scale subresource of the resource being scaled was replaced by ScaleTargetRef which points just to the resource being scaled. * In extensions/v1beta1 if CPUUtilization in HorizontalPodAutoscalerSpec was not specified it was set to 80 by default while in autoscaling/v1 HPA object
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