libZSservicesZSamazonka-autoscalingZSamazonka-autoscaling
Copyright(c) 2013-2021 Brendan Hay
LicenseMozilla Public License, v. 2.0.
MaintainerBrendan Hay <brendan.g.hay+amazonka@gmail.com>
Stabilityauto-generated
Portabilitynon-portable (GHC extensions)
Safe HaskellNone

Amazonka.AutoScaling.Types.PredictiveScalingConfiguration

Description

 
Synopsis

Documentation

data PredictiveScalingConfiguration Source #

Represents a predictive scaling policy configuration to use with Amazon EC2 Auto Scaling.

See: newPredictiveScalingConfiguration smart constructor.

Constructors

PredictiveScalingConfiguration' 

Fields

  • schedulingBufferTime :: Maybe Natural

    The amount of time, in seconds, by which the instance launch time can be advanced. For example, the forecast says to add capacity at 10:00 AM, and you choose to pre-launch instances by 5 minutes. In that case, the instances will be launched at 9:55 AM. The intention is to give resources time to be provisioned. It can take a few minutes to launch an EC2 instance. The actual amount of time required depends on several factors, such as the size of the instance and whether there are startup scripts to complete.

    The value must be less than the forecast interval duration of 3600 seconds (60 minutes). Defaults to 300 seconds if not specified.

  • maxCapacityBuffer :: Maybe Natural

    The size of the capacity buffer to use when the forecast capacity is close to or exceeds the maximum capacity. The value is specified as a percentage relative to the forecast capacity. For example, if the buffer is 10, this means a 10 percent buffer, such that if the forecast capacity is 50, and the maximum capacity is 40, then the effective maximum capacity is 55.

    If set to 0, Amazon EC2 Auto Scaling may scale capacity higher than the maximum capacity to equal but not exceed forecast capacity.

    Required if the MaxCapacityBreachBehavior property is set to IncreaseMaxCapacity, and cannot be used otherwise.

  • mode :: Maybe PredictiveScalingMode

    The predictive scaling mode. Defaults to ForecastOnly if not specified.

  • maxCapacityBreachBehavior :: Maybe PredictiveScalingMaxCapacityBreachBehavior

    Defines the behavior that should be applied if the forecast capacity approaches or exceeds the maximum capacity of the Auto Scaling group. Defaults to HonorMaxCapacity if not specified.

    The following are possible values:

    • HonorMaxCapacity - Amazon EC2 Auto Scaling cannot scale out capacity higher than the maximum capacity. The maximum capacity is enforced as a hard limit.
    • IncreaseMaxCapacity - Amazon EC2 Auto Scaling can scale out capacity higher than the maximum capacity when the forecast capacity is close to or exceeds the maximum capacity. The upper limit is determined by the forecasted capacity and the value for MaxCapacityBuffer.
  • metricSpecifications :: [PredictiveScalingMetricSpecification]

    This structure includes the metrics and target utilization to use for predictive scaling.

    This is an array, but we currently only support a single metric specification. That is, you can specify a target value and a single metric pair, or a target value and one scaling metric and one load metric.

Instances

Instances details
Eq PredictiveScalingConfiguration Source # 
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Defined in Amazonka.AutoScaling.Types.PredictiveScalingConfiguration

Read PredictiveScalingConfiguration Source # 
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Defined in Amazonka.AutoScaling.Types.PredictiveScalingConfiguration

Show PredictiveScalingConfiguration Source # 
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Defined in Amazonka.AutoScaling.Types.PredictiveScalingConfiguration

Generic PredictiveScalingConfiguration Source # 
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Defined in Amazonka.AutoScaling.Types.PredictiveScalingConfiguration

Associated Types

type Rep PredictiveScalingConfiguration :: Type -> Type #

NFData PredictiveScalingConfiguration Source # 
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Defined in Amazonka.AutoScaling.Types.PredictiveScalingConfiguration

Hashable PredictiveScalingConfiguration Source # 
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Defined in Amazonka.AutoScaling.Types.PredictiveScalingConfiguration

ToQuery PredictiveScalingConfiguration Source # 
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FromXML PredictiveScalingConfiguration Source # 
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Defined in Amazonka.AutoScaling.Types.PredictiveScalingConfiguration

type Rep PredictiveScalingConfiguration Source # 
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Defined in Amazonka.AutoScaling.Types.PredictiveScalingConfiguration

type Rep PredictiveScalingConfiguration = D1 ('MetaData "PredictiveScalingConfiguration" "Amazonka.AutoScaling.Types.PredictiveScalingConfiguration" "libZSservicesZSamazonka-autoscalingZSamazonka-autoscaling" 'False) (C1 ('MetaCons "PredictiveScalingConfiguration'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "schedulingBufferTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "maxCapacityBuffer") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :*: (S1 ('MetaSel ('Just "mode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe PredictiveScalingMode)) :*: (S1 ('MetaSel ('Just "maxCapacityBreachBehavior") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe PredictiveScalingMaxCapacityBreachBehavior)) :*: S1 ('MetaSel ('Just "metricSpecifications") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 [PredictiveScalingMetricSpecification])))))

newPredictiveScalingConfiguration :: PredictiveScalingConfiguration Source #

Create a value of PredictiveScalingConfiguration with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:schedulingBufferTime:PredictiveScalingConfiguration', predictiveScalingConfiguration_schedulingBufferTime - The amount of time, in seconds, by which the instance launch time can be advanced. For example, the forecast says to add capacity at 10:00 AM, and you choose to pre-launch instances by 5 minutes. In that case, the instances will be launched at 9:55 AM. The intention is to give resources time to be provisioned. It can take a few minutes to launch an EC2 instance. The actual amount of time required depends on several factors, such as the size of the instance and whether there are startup scripts to complete.

The value must be less than the forecast interval duration of 3600 seconds (60 minutes). Defaults to 300 seconds if not specified.

$sel:maxCapacityBuffer:PredictiveScalingConfiguration', predictiveScalingConfiguration_maxCapacityBuffer - The size of the capacity buffer to use when the forecast capacity is close to or exceeds the maximum capacity. The value is specified as a percentage relative to the forecast capacity. For example, if the buffer is 10, this means a 10 percent buffer, such that if the forecast capacity is 50, and the maximum capacity is 40, then the effective maximum capacity is 55.

If set to 0, Amazon EC2 Auto Scaling may scale capacity higher than the maximum capacity to equal but not exceed forecast capacity.

Required if the MaxCapacityBreachBehavior property is set to IncreaseMaxCapacity, and cannot be used otherwise.

$sel:mode:PredictiveScalingConfiguration', predictiveScalingConfiguration_mode - The predictive scaling mode. Defaults to ForecastOnly if not specified.

$sel:maxCapacityBreachBehavior:PredictiveScalingConfiguration', predictiveScalingConfiguration_maxCapacityBreachBehavior - Defines the behavior that should be applied if the forecast capacity approaches or exceeds the maximum capacity of the Auto Scaling group. Defaults to HonorMaxCapacity if not specified.

The following are possible values:

  • HonorMaxCapacity - Amazon EC2 Auto Scaling cannot scale out capacity higher than the maximum capacity. The maximum capacity is enforced as a hard limit.
  • IncreaseMaxCapacity - Amazon EC2 Auto Scaling can scale out capacity higher than the maximum capacity when the forecast capacity is close to or exceeds the maximum capacity. The upper limit is determined by the forecasted capacity and the value for MaxCapacityBuffer.

$sel:metricSpecifications:PredictiveScalingConfiguration', predictiveScalingConfiguration_metricSpecifications - This structure includes the metrics and target utilization to use for predictive scaling.

This is an array, but we currently only support a single metric specification. That is, you can specify a target value and a single metric pair, or a target value and one scaling metric and one load metric.

predictiveScalingConfiguration_schedulingBufferTime :: Lens' PredictiveScalingConfiguration (Maybe Natural) Source #

The amount of time, in seconds, by which the instance launch time can be advanced. For example, the forecast says to add capacity at 10:00 AM, and you choose to pre-launch instances by 5 minutes. In that case, the instances will be launched at 9:55 AM. The intention is to give resources time to be provisioned. It can take a few minutes to launch an EC2 instance. The actual amount of time required depends on several factors, such as the size of the instance and whether there are startup scripts to complete.

The value must be less than the forecast interval duration of 3600 seconds (60 minutes). Defaults to 300 seconds if not specified.

predictiveScalingConfiguration_maxCapacityBuffer :: Lens' PredictiveScalingConfiguration (Maybe Natural) Source #

The size of the capacity buffer to use when the forecast capacity is close to or exceeds the maximum capacity. The value is specified as a percentage relative to the forecast capacity. For example, if the buffer is 10, this means a 10 percent buffer, such that if the forecast capacity is 50, and the maximum capacity is 40, then the effective maximum capacity is 55.

If set to 0, Amazon EC2 Auto Scaling may scale capacity higher than the maximum capacity to equal but not exceed forecast capacity.

Required if the MaxCapacityBreachBehavior property is set to IncreaseMaxCapacity, and cannot be used otherwise.

predictiveScalingConfiguration_mode :: Lens' PredictiveScalingConfiguration (Maybe PredictiveScalingMode) Source #

The predictive scaling mode. Defaults to ForecastOnly if not specified.

predictiveScalingConfiguration_maxCapacityBreachBehavior :: Lens' PredictiveScalingConfiguration (Maybe PredictiveScalingMaxCapacityBreachBehavior) Source #

Defines the behavior that should be applied if the forecast capacity approaches or exceeds the maximum capacity of the Auto Scaling group. Defaults to HonorMaxCapacity if not specified.

The following are possible values:

  • HonorMaxCapacity - Amazon EC2 Auto Scaling cannot scale out capacity higher than the maximum capacity. The maximum capacity is enforced as a hard limit.
  • IncreaseMaxCapacity - Amazon EC2 Auto Scaling can scale out capacity higher than the maximum capacity when the forecast capacity is close to or exceeds the maximum capacity. The upper limit is determined by the forecasted capacity and the value for MaxCapacityBuffer.

predictiveScalingConfiguration_metricSpecifications :: Lens' PredictiveScalingConfiguration [PredictiveScalingMetricSpecification] Source #

This structure includes the metrics and target utilization to use for predictive scaling.

This is an array, but we currently only support a single metric specification. That is, you can specify a target value and a single metric pair, or a target value and one scaling metric and one load metric.