class Amazonite::DynamoDB::AutoScalingTargetTrackingScalingPolicyConfigurationDescription

Overview

Represents the properties of a target tracking scaling policy.

Included Modules

Defined in:

dynamodb/auto_scaling_target_tracking_scaling_policy_configuration_description.cr

Constructors

Instance Method Summary

Constructor Detail

def self.new(pull : JSON::PullParser) #

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def self.new(target_value : Float64, disable_scale_in : Bool | Nil = nil, scale_in_cooldown : Int32 | Nil = nil, scale_out_cooldown : Int32 | Nil = nil) #

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def self.new(*, __pull_for_json_serializable pull : JSON::PullParser) #

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Instance Method Detail

def ==(other : self) #
Description copied from class Reference

Returns true if this reference is the same as other. Invokes same?.


def disable_scale_in : Bool | Nil #

Indicates whether scale in by the target tracking policy is disabled. If the value is true, scale in is disabled and the target tracking policy won't remove capacity from the scalable resource. Otherwise, scale in is enabled and the target tracking policy can remove capacity from the scalable resource. The default value is false.


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def disable_scale_in=(disable_scale_in : Bool | Nil) #

Indicates whether scale in by the target tracking policy is disabled. If the value is true, scale in is disabled and the target tracking policy won't remove capacity from the scalable resource. Otherwise, scale in is enabled and the target tracking policy can remove capacity from the scalable resource. The default value is false.


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def hash(hasher) #
Description copied from class Reference

See Object#hash(hasher)


def scale_in_cooldown : Int32 | Nil #

The amount of time, in seconds, after a scale in activity completes before another scale in activity can start. The cooldown period is used to block subsequent scale in requests until it has expired. You should scale in conservatively to protect your application's availability. However, if another alarm triggers a scale out policy during the cooldown period after a scale-in, application auto scaling scales out your scalable target immediately.


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def scale_in_cooldown=(scale_in_cooldown : Int32 | Nil) #

The amount of time, in seconds, after a scale in activity completes before another scale in activity can start. The cooldown period is used to block subsequent scale in requests until it has expired. You should scale in conservatively to protect your application's availability. However, if another alarm triggers a scale out policy during the cooldown period after a scale-in, application auto scaling scales out your scalable target immediately.


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def scale_out_cooldown : Int32 | Nil #

The amount of time, in seconds, after a scale out activity completes before another scale out activity can start. While the cooldown period is in effect, the capacity that has been added by the previous scale out event that initiated the cooldown is calculated as part of the desired capacity for the next scale out. You should continuously (but not excessively) scale out.


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def scale_out_cooldown=(scale_out_cooldown : Int32 | Nil) #

The amount of time, in seconds, after a scale out activity completes before another scale out activity can start. While the cooldown period is in effect, the capacity that has been added by the previous scale out event that initiated the cooldown is calculated as part of the desired capacity for the next scale out. You should continuously (but not excessively) scale out.


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def target_value : Float64 #

The target value for the metric. The range is 8.515920e-109 to 1.174271e+108 (Base 10) or 2e-360 to 2e360 (Base 2).


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def target_value=(target_value : Float64) #

The target value for the metric. The range is 8.515920e-109 to 1.174271e+108 (Base 10) or 2e-360 to 2e360 (Base 2).


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def validate! : Nil #

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