amazonka-application-autoscaling-2.0: gen/Amazonka/ApplicationAutoScaling/Types/StepScalingPolicyConfiguration.hs
{-# LANGUAGE DeriveGeneric #-}
{-# LANGUAGE DuplicateRecordFields #-}
{-# LANGUAGE NamedFieldPuns #-}
{-# LANGUAGE OverloadedStrings #-}
{-# LANGUAGE RecordWildCards #-}
{-# LANGUAGE StrictData #-}
{-# LANGUAGE NoImplicitPrelude #-}
{-# OPTIONS_GHC -fno-warn-unused-imports #-}
{-# OPTIONS_GHC -fno-warn-unused-matches #-}
-- Derived from AWS service descriptions, licensed under Apache 2.0.
-- |
-- Module : Amazonka.ApplicationAutoScaling.Types.StepScalingPolicyConfiguration
-- Copyright : (c) 2013-2023 Brendan Hay
-- License : Mozilla Public License, v. 2.0.
-- Maintainer : Brendan Hay
-- Stability : auto-generated
-- Portability : non-portable (GHC extensions)
module Amazonka.ApplicationAutoScaling.Types.StepScalingPolicyConfiguration where
import Amazonka.ApplicationAutoScaling.Types.AdjustmentType
import Amazonka.ApplicationAutoScaling.Types.MetricAggregationType
import Amazonka.ApplicationAutoScaling.Types.StepAdjustment
import qualified Amazonka.Core as Core
import qualified Amazonka.Core.Lens.Internal as Lens
import qualified Amazonka.Data as Data
import qualified Amazonka.Prelude as Prelude
-- | Represents a step scaling policy configuration to use with Application
-- Auto Scaling.
--
-- /See:/ 'newStepScalingPolicyConfiguration' smart constructor.
data StepScalingPolicyConfiguration = StepScalingPolicyConfiguration'
{ -- | Specifies how the @ScalingAdjustment@ value in a
-- <https://docs.aws.amazon.com/autoscaling/application/APIReference/API_StepAdjustment.html StepAdjustment>
-- is interpreted (for example, an absolute number or a percentage). The
-- valid values are @ChangeInCapacity@, @ExactCapacity@, and
-- @PercentChangeInCapacity@.
--
-- @AdjustmentType@ is required if you are adding a new step scaling policy
-- configuration.
adjustmentType :: Prelude.Maybe AdjustmentType,
-- | The amount of time, in seconds, to wait for a previous scaling activity
-- to take effect.
--
-- With scale-out policies, the intention is to continuously (but not
-- excessively) scale out. After Application Auto Scaling successfully
-- scales out using a step scaling policy, it starts to calculate the
-- cooldown time. The scaling policy won\'t increase the desired capacity
-- again unless either a larger scale out is triggered or the cooldown
-- period ends. While the cooldown period is in effect, capacity added by
-- the initiating scale-out activity is calculated as part of the desired
-- capacity for the next scale-out activity. For example, when an alarm
-- triggers a step scaling policy to increase the capacity by 2, the
-- scaling activity completes successfully, and a cooldown period starts.
-- If the alarm triggers again during the cooldown period but at a more
-- aggressive step adjustment of 3, the previous increase of 2 is
-- considered part of the current capacity. Therefore, only 1 is added to
-- the capacity.
--
-- With scale-in policies, the intention is to scale in conservatively to
-- protect your application’s availability, so scale-in activities are
-- blocked until the cooldown period has expired. However, if another alarm
-- triggers a scale-out activity during the cooldown period after a
-- scale-in activity, Application Auto Scaling scales out the target
-- immediately. In this case, the cooldown period for the scale-in activity
-- stops and doesn\'t complete.
--
-- Application Auto Scaling provides a default value of 600 for Amazon
-- ElastiCache replication groups and a default value of 300 for the
-- following scalable targets:
--
-- - AppStream 2.0 fleets
--
-- - Aurora DB clusters
--
-- - ECS services
--
-- - EMR clusters
--
-- - Neptune clusters
--
-- - SageMaker endpoint variants
--
-- - Spot Fleets
--
-- - Custom resources
--
-- For all other scalable targets, the default value is 0:
--
-- - Amazon Comprehend document classification and entity recognizer
-- endpoints
--
-- - DynamoDB tables and global secondary indexes
--
-- - Amazon Keyspaces tables
--
-- - Lambda provisioned concurrency
--
-- - Amazon MSK broker storage
cooldown :: Prelude.Maybe Prelude.Int,
-- | The aggregation type for the CloudWatch metrics. Valid values are
-- @Minimum@, @Maximum@, and @Average@. If the aggregation type is null,
-- the value is treated as @Average@.
metricAggregationType :: Prelude.Maybe MetricAggregationType,
-- | The minimum value to scale by when the adjustment type is
-- @PercentChangeInCapacity@. For example, suppose that you create a step
-- scaling policy to scale out an Amazon ECS service by 25 percent and you
-- specify a @MinAdjustmentMagnitude@ of 2. If the service has 4 tasks and
-- the scaling policy is performed, 25 percent of 4 is 1. However, because
-- you specified a @MinAdjustmentMagnitude@ of 2, Application Auto Scaling
-- scales out the service by 2 tasks.
minAdjustmentMagnitude :: Prelude.Maybe Prelude.Int,
-- | A set of adjustments that enable you to scale based on the size of the
-- alarm breach.
--
-- At least one step adjustment is required if you are adding a new step
-- scaling policy configuration.
stepAdjustments :: Prelude.Maybe [StepAdjustment]
}
deriving (Prelude.Eq, Prelude.Read, Prelude.Show, Prelude.Generic)
-- |
-- Create a value of 'StepScalingPolicyConfiguration' with all optional fields omitted.
--
-- Use <https://hackage.haskell.org/package/generic-lens generic-lens> or <https://hackage.haskell.org/package/optics optics> to modify other optional fields.
--
-- The following record fields are available, with the corresponding lenses provided
-- for backwards compatibility:
--
-- 'adjustmentType', 'stepScalingPolicyConfiguration_adjustmentType' - Specifies how the @ScalingAdjustment@ value in a
-- <https://docs.aws.amazon.com/autoscaling/application/APIReference/API_StepAdjustment.html StepAdjustment>
-- is interpreted (for example, an absolute number or a percentage). The
-- valid values are @ChangeInCapacity@, @ExactCapacity@, and
-- @PercentChangeInCapacity@.
--
-- @AdjustmentType@ is required if you are adding a new step scaling policy
-- configuration.
--
-- 'cooldown', 'stepScalingPolicyConfiguration_cooldown' - The amount of time, in seconds, to wait for a previous scaling activity
-- to take effect.
--
-- With scale-out policies, the intention is to continuously (but not
-- excessively) scale out. After Application Auto Scaling successfully
-- scales out using a step scaling policy, it starts to calculate the
-- cooldown time. The scaling policy won\'t increase the desired capacity
-- again unless either a larger scale out is triggered or the cooldown
-- period ends. While the cooldown period is in effect, capacity added by
-- the initiating scale-out activity is calculated as part of the desired
-- capacity for the next scale-out activity. For example, when an alarm
-- triggers a step scaling policy to increase the capacity by 2, the
-- scaling activity completes successfully, and a cooldown period starts.
-- If the alarm triggers again during the cooldown period but at a more
-- aggressive step adjustment of 3, the previous increase of 2 is
-- considered part of the current capacity. Therefore, only 1 is added to
-- the capacity.
--
-- With scale-in policies, the intention is to scale in conservatively to
-- protect your application’s availability, so scale-in activities are
-- blocked until the cooldown period has expired. However, if another alarm
-- triggers a scale-out activity during the cooldown period after a
-- scale-in activity, Application Auto Scaling scales out the target
-- immediately. In this case, the cooldown period for the scale-in activity
-- stops and doesn\'t complete.
--
-- Application Auto Scaling provides a default value of 600 for Amazon
-- ElastiCache replication groups and a default value of 300 for the
-- following scalable targets:
--
-- - AppStream 2.0 fleets
--
-- - Aurora DB clusters
--
-- - ECS services
--
-- - EMR clusters
--
-- - Neptune clusters
--
-- - SageMaker endpoint variants
--
-- - Spot Fleets
--
-- - Custom resources
--
-- For all other scalable targets, the default value is 0:
--
-- - Amazon Comprehend document classification and entity recognizer
-- endpoints
--
-- - DynamoDB tables and global secondary indexes
--
-- - Amazon Keyspaces tables
--
-- - Lambda provisioned concurrency
--
-- - Amazon MSK broker storage
--
-- 'metricAggregationType', 'stepScalingPolicyConfiguration_metricAggregationType' - The aggregation type for the CloudWatch metrics. Valid values are
-- @Minimum@, @Maximum@, and @Average@. If the aggregation type is null,
-- the value is treated as @Average@.
--
-- 'minAdjustmentMagnitude', 'stepScalingPolicyConfiguration_minAdjustmentMagnitude' - The minimum value to scale by when the adjustment type is
-- @PercentChangeInCapacity@. For example, suppose that you create a step
-- scaling policy to scale out an Amazon ECS service by 25 percent and you
-- specify a @MinAdjustmentMagnitude@ of 2. If the service has 4 tasks and
-- the scaling policy is performed, 25 percent of 4 is 1. However, because
-- you specified a @MinAdjustmentMagnitude@ of 2, Application Auto Scaling
-- scales out the service by 2 tasks.
--
-- 'stepAdjustments', 'stepScalingPolicyConfiguration_stepAdjustments' - A set of adjustments that enable you to scale based on the size of the
-- alarm breach.
--
-- At least one step adjustment is required if you are adding a new step
-- scaling policy configuration.
newStepScalingPolicyConfiguration ::
StepScalingPolicyConfiguration
newStepScalingPolicyConfiguration =
StepScalingPolicyConfiguration'
{ adjustmentType =
Prelude.Nothing,
cooldown = Prelude.Nothing,
metricAggregationType = Prelude.Nothing,
minAdjustmentMagnitude = Prelude.Nothing,
stepAdjustments = Prelude.Nothing
}
-- | Specifies how the @ScalingAdjustment@ value in a
-- <https://docs.aws.amazon.com/autoscaling/application/APIReference/API_StepAdjustment.html StepAdjustment>
-- is interpreted (for example, an absolute number or a percentage). The
-- valid values are @ChangeInCapacity@, @ExactCapacity@, and
-- @PercentChangeInCapacity@.
--
-- @AdjustmentType@ is required if you are adding a new step scaling policy
-- configuration.
stepScalingPolicyConfiguration_adjustmentType :: Lens.Lens' StepScalingPolicyConfiguration (Prelude.Maybe AdjustmentType)
stepScalingPolicyConfiguration_adjustmentType = Lens.lens (\StepScalingPolicyConfiguration' {adjustmentType} -> adjustmentType) (\s@StepScalingPolicyConfiguration' {} a -> s {adjustmentType = a} :: StepScalingPolicyConfiguration)
-- | The amount of time, in seconds, to wait for a previous scaling activity
-- to take effect.
--
-- With scale-out policies, the intention is to continuously (but not
-- excessively) scale out. After Application Auto Scaling successfully
-- scales out using a step scaling policy, it starts to calculate the
-- cooldown time. The scaling policy won\'t increase the desired capacity
-- again unless either a larger scale out is triggered or the cooldown
-- period ends. While the cooldown period is in effect, capacity added by
-- the initiating scale-out activity is calculated as part of the desired
-- capacity for the next scale-out activity. For example, when an alarm
-- triggers a step scaling policy to increase the capacity by 2, the
-- scaling activity completes successfully, and a cooldown period starts.
-- If the alarm triggers again during the cooldown period but at a more
-- aggressive step adjustment of 3, the previous increase of 2 is
-- considered part of the current capacity. Therefore, only 1 is added to
-- the capacity.
--
-- With scale-in policies, the intention is to scale in conservatively to
-- protect your application’s availability, so scale-in activities are
-- blocked until the cooldown period has expired. However, if another alarm
-- triggers a scale-out activity during the cooldown period after a
-- scale-in activity, Application Auto Scaling scales out the target
-- immediately. In this case, the cooldown period for the scale-in activity
-- stops and doesn\'t complete.
--
-- Application Auto Scaling provides a default value of 600 for Amazon
-- ElastiCache replication groups and a default value of 300 for the
-- following scalable targets:
--
-- - AppStream 2.0 fleets
--
-- - Aurora DB clusters
--
-- - ECS services
--
-- - EMR clusters
--
-- - Neptune clusters
--
-- - SageMaker endpoint variants
--
-- - Spot Fleets
--
-- - Custom resources
--
-- For all other scalable targets, the default value is 0:
--
-- - Amazon Comprehend document classification and entity recognizer
-- endpoints
--
-- - DynamoDB tables and global secondary indexes
--
-- - Amazon Keyspaces tables
--
-- - Lambda provisioned concurrency
--
-- - Amazon MSK broker storage
stepScalingPolicyConfiguration_cooldown :: Lens.Lens' StepScalingPolicyConfiguration (Prelude.Maybe Prelude.Int)
stepScalingPolicyConfiguration_cooldown = Lens.lens (\StepScalingPolicyConfiguration' {cooldown} -> cooldown) (\s@StepScalingPolicyConfiguration' {} a -> s {cooldown = a} :: StepScalingPolicyConfiguration)
-- | The aggregation type for the CloudWatch metrics. Valid values are
-- @Minimum@, @Maximum@, and @Average@. If the aggregation type is null,
-- the value is treated as @Average@.
stepScalingPolicyConfiguration_metricAggregationType :: Lens.Lens' StepScalingPolicyConfiguration (Prelude.Maybe MetricAggregationType)
stepScalingPolicyConfiguration_metricAggregationType = Lens.lens (\StepScalingPolicyConfiguration' {metricAggregationType} -> metricAggregationType) (\s@StepScalingPolicyConfiguration' {} a -> s {metricAggregationType = a} :: StepScalingPolicyConfiguration)
-- | The minimum value to scale by when the adjustment type is
-- @PercentChangeInCapacity@. For example, suppose that you create a step
-- scaling policy to scale out an Amazon ECS service by 25 percent and you
-- specify a @MinAdjustmentMagnitude@ of 2. If the service has 4 tasks and
-- the scaling policy is performed, 25 percent of 4 is 1. However, because
-- you specified a @MinAdjustmentMagnitude@ of 2, Application Auto Scaling
-- scales out the service by 2 tasks.
stepScalingPolicyConfiguration_minAdjustmentMagnitude :: Lens.Lens' StepScalingPolicyConfiguration (Prelude.Maybe Prelude.Int)
stepScalingPolicyConfiguration_minAdjustmentMagnitude = Lens.lens (\StepScalingPolicyConfiguration' {minAdjustmentMagnitude} -> minAdjustmentMagnitude) (\s@StepScalingPolicyConfiguration' {} a -> s {minAdjustmentMagnitude = a} :: StepScalingPolicyConfiguration)
-- | A set of adjustments that enable you to scale based on the size of the
-- alarm breach.
--
-- At least one step adjustment is required if you are adding a new step
-- scaling policy configuration.
stepScalingPolicyConfiguration_stepAdjustments :: Lens.Lens' StepScalingPolicyConfiguration (Prelude.Maybe [StepAdjustment])
stepScalingPolicyConfiguration_stepAdjustments = Lens.lens (\StepScalingPolicyConfiguration' {stepAdjustments} -> stepAdjustments) (\s@StepScalingPolicyConfiguration' {} a -> s {stepAdjustments = a} :: StepScalingPolicyConfiguration) Prelude.. Lens.mapping Lens.coerced
instance Data.FromJSON StepScalingPolicyConfiguration where
parseJSON =
Data.withObject
"StepScalingPolicyConfiguration"
( \x ->
StepScalingPolicyConfiguration'
Prelude.<$> (x Data..:? "AdjustmentType")
Prelude.<*> (x Data..:? "Cooldown")
Prelude.<*> (x Data..:? "MetricAggregationType")
Prelude.<*> (x Data..:? "MinAdjustmentMagnitude")
Prelude.<*> ( x
Data..:? "StepAdjustments"
Data..!= Prelude.mempty
)
)
instance
Prelude.Hashable
StepScalingPolicyConfiguration
where
hashWithSalt
_salt
StepScalingPolicyConfiguration' {..} =
_salt
`Prelude.hashWithSalt` adjustmentType
`Prelude.hashWithSalt` cooldown
`Prelude.hashWithSalt` metricAggregationType
`Prelude.hashWithSalt` minAdjustmentMagnitude
`Prelude.hashWithSalt` stepAdjustments
instance
Prelude.NFData
StepScalingPolicyConfiguration
where
rnf StepScalingPolicyConfiguration' {..} =
Prelude.rnf adjustmentType
`Prelude.seq` Prelude.rnf cooldown
`Prelude.seq` Prelude.rnf metricAggregationType
`Prelude.seq` Prelude.rnf minAdjustmentMagnitude
`Prelude.seq` Prelude.rnf stepAdjustments
instance Data.ToJSON StepScalingPolicyConfiguration where
toJSON StepScalingPolicyConfiguration' {..} =
Data.object
( Prelude.catMaybes
[ ("AdjustmentType" Data..=)
Prelude.<$> adjustmentType,
("Cooldown" Data..=) Prelude.<$> cooldown,
("MetricAggregationType" Data..=)
Prelude.<$> metricAggregationType,
("MinAdjustmentMagnitude" Data..=)
Prelude.<$> minAdjustmentMagnitude,
("StepAdjustments" Data..=)
Prelude.<$> stepAdjustments
]
)