AWS Cloud Control v1.9.0, Nov 18 24

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AWS Cloud Control v1.9.0 published on Monday, Nov 18, 2024 by Pulumi

pulumi/pulumi-aws-native

aws-native.autoscaling.ScalingPolicy

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We recommend new projects start with resources from the AWS provider.

AWS Cloud Control v1.9.0 published on Monday, Nov 18, 2024 by Pulumi

pulumi/pulumi-aws-native

Create ScalingPolicy Resource

Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

Constructor syntax

new ScalingPolicy(name: string, args: ScalingPolicyArgs, opts?: CustomResourceOptions);

@overload
def ScalingPolicy(resource_name: str,
                  args: ScalingPolicyArgs,
                  opts: Optional[ResourceOptions] = None)

@overload
def ScalingPolicy(resource_name: str,
                  opts: Optional[ResourceOptions] = None,
                  auto_scaling_group_name: Optional[str] = None,
                  adjustment_type: Optional[str] = None,
                  cooldown: Optional[str] = None,
                  estimated_instance_warmup: Optional[int] = None,
                  metric_aggregation_type: Optional[str] = None,
                  min_adjustment_magnitude: Optional[int] = None,
                  policy_type: Optional[str] = None,
                  predictive_scaling_configuration: Optional[ScalingPolicyPredictiveScalingConfigurationArgs] = None,
                  scaling_adjustment: Optional[int] = None,
                  step_adjustments: Optional[Sequence[ScalingPolicyStepAdjustmentArgs]] = None,
                  target_tracking_configuration: Optional[ScalingPolicyTargetTrackingConfigurationArgs] = None)

func NewScalingPolicy(ctx *Context, name string, args ScalingPolicyArgs, opts ...ResourceOption) (*ScalingPolicy, error)

public ScalingPolicy(string name, ScalingPolicyArgs args, CustomResourceOptions? opts = null)

public ScalingPolicy(String name, ScalingPolicyArgs args)
public ScalingPolicy(String name, ScalingPolicyArgs args, CustomResourceOptions options)

type: aws-native:autoscaling:ScalingPolicy
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

Parameters

name string: The unique name of the resource.
args ScalingPolicyArgs: The arguments to resource properties.
opts CustomResourceOptions: Bag of options to control resource's behavior.

resource_name str: The unique name of the resource.
args ScalingPolicyArgs: The arguments to resource properties.
opts ResourceOptions: Bag of options to control resource's behavior.

ctx Context: Context object for the current deployment.
name string: The unique name of the resource.
args ScalingPolicyArgs: The arguments to resource properties.
opts ResourceOption: Bag of options to control resource's behavior.

name string: The unique name of the resource.
args ScalingPolicyArgs: The arguments to resource properties.
opts CustomResourceOptions: Bag of options to control resource's behavior.

name String: The unique name of the resource.
args ScalingPolicyArgs: The arguments to resource properties.
options CustomResourceOptions: Bag of options to control resource's behavior.

ScalingPolicy Resource Properties

To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

Inputs

In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.

The ScalingPolicy resource accepts the following input properties:

AutoScalingGroupName string: The name of the Auto Scaling group.
AdjustmentType string: Specifies how the scaling adjustment is interpreted. The valid values are ChangeInCapacity, ExactCapacity, and PercentChangeInCapacity.
Cooldown string: The duration of the policy's cooldown period, in seconds. When a cooldown period is specified here, it overrides the default cooldown period defined for the Auto Scaling group.
EstimatedInstanceWarmup int: The estimated time, in seconds, until a newly launched instance can contribute to the CloudWatch metrics. If not provided, the default is to use the value from the default cooldown period for the Auto Scaling group. Valid only if the policy type is TargetTrackingScaling or StepScaling.
MetricAggregationType string: The aggregation type for the CloudWatch metrics. The valid values are Minimum, Maximum, and Average. If the aggregation type is null, the value is treated as Average. Valid only if the policy type is StepScaling.
MinAdjustmentMagnitude int: 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 Auto Scaling group by 25 percent and you specify a MinAdjustmentMagnitude of 2. If the group has 4 instances and the scaling policy is performed, 25 percent of 4 is 1. However, because you specified a MinAdjustmentMagnitude of 2, Amazon EC2 Auto Scaling scales out the group by 2 instances.
PolicyType string: One of the following policy types: TargetTrackingScaling, StepScaling, SimpleScaling (default), PredictiveScaling
PredictiveScalingConfiguration Pulumi.AwsNative.AutoScaling.Inputs.ScalingPolicyPredictiveScalingConfiguration: A predictive scaling policy. Includes support for predefined metrics only.
ScalingAdjustment int: The amount by which to scale, based on the specified adjustment type. A positive value adds to the current capacity while a negative number removes from the current capacity. For exact capacity, you must specify a positive value. Required if the policy type is SimpleScaling. (Not used with any other policy type.)
StepAdjustments List<Pulumi.AwsNative.AutoScaling.Inputs.ScalingPolicyStepAdjustment>: A set of adjustments that enable you to scale based on the size of the alarm breach. Required if the policy type is StepScaling. (Not used with any other policy type.)
TargetTrackingConfiguration Pulumi.AwsNative.AutoScaling.Inputs.ScalingPolicyTargetTrackingConfiguration: A target tracking scaling policy. Includes support for predefined or customized metrics.

AutoScalingGroupName string: The name of the Auto Scaling group.
AdjustmentType string: Specifies how the scaling adjustment is interpreted. The valid values are ChangeInCapacity, ExactCapacity, and PercentChangeInCapacity.
Cooldown string: The duration of the policy's cooldown period, in seconds. When a cooldown period is specified here, it overrides the default cooldown period defined for the Auto Scaling group.
EstimatedInstanceWarmup int: The estimated time, in seconds, until a newly launched instance can contribute to the CloudWatch metrics. If not provided, the default is to use the value from the default cooldown period for the Auto Scaling group. Valid only if the policy type is TargetTrackingScaling or StepScaling.
MetricAggregationType string: The aggregation type for the CloudWatch metrics. The valid values are Minimum, Maximum, and Average. If the aggregation type is null, the value is treated as Average. Valid only if the policy type is StepScaling.
MinAdjustmentMagnitude int: 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 Auto Scaling group by 25 percent and you specify a MinAdjustmentMagnitude of 2. If the group has 4 instances and the scaling policy is performed, 25 percent of 4 is 1. However, because you specified a MinAdjustmentMagnitude of 2, Amazon EC2 Auto Scaling scales out the group by 2 instances.
PolicyType string: One of the following policy types: TargetTrackingScaling, StepScaling, SimpleScaling (default), PredictiveScaling
PredictiveScalingConfiguration ScalingPolicyPredictiveScalingConfigurationArgs: A predictive scaling policy. Includes support for predefined metrics only.
ScalingAdjustment int: The amount by which to scale, based on the specified adjustment type. A positive value adds to the current capacity while a negative number removes from the current capacity. For exact capacity, you must specify a positive value. Required if the policy type is SimpleScaling. (Not used with any other policy type.)
StepAdjustments []ScalingPolicyStepAdjustmentArgs: A set of adjustments that enable you to scale based on the size of the alarm breach. Required if the policy type is StepScaling. (Not used with any other policy type.)
TargetTrackingConfiguration ScalingPolicyTargetTrackingConfigurationArgs: A target tracking scaling policy. Includes support for predefined or customized metrics.

autoScalingGroupName String: The name of the Auto Scaling group.
adjustmentType String: Specifies how the scaling adjustment is interpreted. The valid values are ChangeInCapacity, ExactCapacity, and PercentChangeInCapacity.
cooldown String: The duration of the policy's cooldown period, in seconds. When a cooldown period is specified here, it overrides the default cooldown period defined for the Auto Scaling group.
estimatedInstanceWarmup Integer: The estimated time, in seconds, until a newly launched instance can contribute to the CloudWatch metrics. If not provided, the default is to use the value from the default cooldown period for the Auto Scaling group. Valid only if the policy type is TargetTrackingScaling or StepScaling.
metricAggregationType String: The aggregation type for the CloudWatch metrics. The valid values are Minimum, Maximum, and Average. If the aggregation type is null, the value is treated as Average. Valid only if the policy type is StepScaling.
minAdjustmentMagnitude Integer: 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 Auto Scaling group by 25 percent and you specify a MinAdjustmentMagnitude of 2. If the group has 4 instances and the scaling policy is performed, 25 percent of 4 is 1. However, because you specified a MinAdjustmentMagnitude of 2, Amazon EC2 Auto Scaling scales out the group by 2 instances.
policyType String: One of the following policy types: TargetTrackingScaling, StepScaling, SimpleScaling (default), PredictiveScaling
predictiveScalingConfiguration ScalingPolicyPredictiveScalingConfiguration: A predictive scaling policy. Includes support for predefined metrics only.
scalingAdjustment Integer: The amount by which to scale, based on the specified adjustment type. A positive value adds to the current capacity while a negative number removes from the current capacity. For exact capacity, you must specify a positive value. Required if the policy type is SimpleScaling. (Not used with any other policy type.)
stepAdjustments List<ScalingPolicyStepAdjustment>: A set of adjustments that enable you to scale based on the size of the alarm breach. Required if the policy type is StepScaling. (Not used with any other policy type.)
targetTrackingConfiguration ScalingPolicyTargetTrackingConfiguration: A target tracking scaling policy. Includes support for predefined or customized metrics.

autoScalingGroupName string: The name of the Auto Scaling group.
adjustmentType string: Specifies how the scaling adjustment is interpreted. The valid values are ChangeInCapacity, ExactCapacity, and PercentChangeInCapacity.
cooldown string: The duration of the policy's cooldown period, in seconds. When a cooldown period is specified here, it overrides the default cooldown period defined for the Auto Scaling group.
estimatedInstanceWarmup number: The estimated time, in seconds, until a newly launched instance can contribute to the CloudWatch metrics. If not provided, the default is to use the value from the default cooldown period for the Auto Scaling group. Valid only if the policy type is TargetTrackingScaling or StepScaling.
metricAggregationType string: The aggregation type for the CloudWatch metrics. The valid values are Minimum, Maximum, and Average. If the aggregation type is null, the value is treated as Average. Valid only if the policy type is StepScaling.
minAdjustmentMagnitude number: 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 Auto Scaling group by 25 percent and you specify a MinAdjustmentMagnitude of 2. If the group has 4 instances and the scaling policy is performed, 25 percent of 4 is 1. However, because you specified a MinAdjustmentMagnitude of 2, Amazon EC2 Auto Scaling scales out the group by 2 instances.
policyType string: One of the following policy types: TargetTrackingScaling, StepScaling, SimpleScaling (default), PredictiveScaling
predictiveScalingConfiguration ScalingPolicyPredictiveScalingConfiguration: A predictive scaling policy. Includes support for predefined metrics only.
scalingAdjustment number: The amount by which to scale, based on the specified adjustment type. A positive value adds to the current capacity while a negative number removes from the current capacity. For exact capacity, you must specify a positive value. Required if the policy type is SimpleScaling. (Not used with any other policy type.)
stepAdjustments ScalingPolicyStepAdjustment[]: A set of adjustments that enable you to scale based on the size of the alarm breach. Required if the policy type is StepScaling. (Not used with any other policy type.)
targetTrackingConfiguration ScalingPolicyTargetTrackingConfiguration: A target tracking scaling policy. Includes support for predefined or customized metrics.

auto_scaling_group_name str: The name of the Auto Scaling group.
adjustment_type str: Specifies how the scaling adjustment is interpreted. The valid values are ChangeInCapacity, ExactCapacity, and PercentChangeInCapacity.
cooldown str: The duration of the policy's cooldown period, in seconds. When a cooldown period is specified here, it overrides the default cooldown period defined for the Auto Scaling group.
estimated_instance_warmup int: The estimated time, in seconds, until a newly launched instance can contribute to the CloudWatch metrics. If not provided, the default is to use the value from the default cooldown period for the Auto Scaling group. Valid only if the policy type is TargetTrackingScaling or StepScaling.
metric_aggregation_type str: The aggregation type for the CloudWatch metrics. The valid values are Minimum, Maximum, and Average. If the aggregation type is null, the value is treated as Average. Valid only if the policy type is StepScaling.
min_adjustment_magnitude int: 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 Auto Scaling group by 25 percent and you specify a MinAdjustmentMagnitude of 2. If the group has 4 instances and the scaling policy is performed, 25 percent of 4 is 1. However, because you specified a MinAdjustmentMagnitude of 2, Amazon EC2 Auto Scaling scales out the group by 2 instances.
policy_type str: One of the following policy types: TargetTrackingScaling, StepScaling, SimpleScaling (default), PredictiveScaling
predictive_scaling_configuration ScalingPolicyPredictiveScalingConfigurationArgs: A predictive scaling policy. Includes support for predefined metrics only.
scaling_adjustment int: The amount by which to scale, based on the specified adjustment type. A positive value adds to the current capacity while a negative number removes from the current capacity. For exact capacity, you must specify a positive value. Required if the policy type is SimpleScaling. (Not used with any other policy type.)
step_adjustments Sequence[ScalingPolicyStepAdjustmentArgs]: A set of adjustments that enable you to scale based on the size of the alarm breach. Required if the policy type is StepScaling. (Not used with any other policy type.)
target_tracking_configuration ScalingPolicyTargetTrackingConfigurationArgs: A target tracking scaling policy. Includes support for predefined or customized metrics.

autoScalingGroupName String: The name of the Auto Scaling group.
adjustmentType String: Specifies how the scaling adjustment is interpreted. The valid values are ChangeInCapacity, ExactCapacity, and PercentChangeInCapacity.
cooldown String: The duration of the policy's cooldown period, in seconds. When a cooldown period is specified here, it overrides the default cooldown period defined for the Auto Scaling group.
estimatedInstanceWarmup Number: The estimated time, in seconds, until a newly launched instance can contribute to the CloudWatch metrics. If not provided, the default is to use the value from the default cooldown period for the Auto Scaling group. Valid only if the policy type is TargetTrackingScaling or StepScaling.
metricAggregationType String: The aggregation type for the CloudWatch metrics. The valid values are Minimum, Maximum, and Average. If the aggregation type is null, the value is treated as Average. Valid only if the policy type is StepScaling.
minAdjustmentMagnitude Number: 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 Auto Scaling group by 25 percent and you specify a MinAdjustmentMagnitude of 2. If the group has 4 instances and the scaling policy is performed, 25 percent of 4 is 1. However, because you specified a MinAdjustmentMagnitude of 2, Amazon EC2 Auto Scaling scales out the group by 2 instances.
policyType String: One of the following policy types: TargetTrackingScaling, StepScaling, SimpleScaling (default), PredictiveScaling
predictiveScalingConfiguration Property Map: A predictive scaling policy. Includes support for predefined metrics only.
scalingAdjustment Number: The amount by which to scale, based on the specified adjustment type. A positive value adds to the current capacity while a negative number removes from the current capacity. For exact capacity, you must specify a positive value. Required if the policy type is SimpleScaling. (Not used with any other policy type.)
stepAdjustments List<Property Map>: A set of adjustments that enable you to scale based on the size of the alarm breach. Required if the policy type is StepScaling. (Not used with any other policy type.)
targetTrackingConfiguration Property Map: A target tracking scaling policy. Includes support for predefined or customized metrics.

Outputs

All input properties are implicitly available as output properties. Additionally, the ScalingPolicy resource produces the following output properties:

Arn string: The ARN of the AutoScaling scaling policy
Id string: The provider-assigned unique ID for this managed resource.
PolicyName string: Returns the name of a scaling policy.

Arn string: The ARN of the AutoScaling scaling policy
Id string: The provider-assigned unique ID for this managed resource.
PolicyName string: Returns the name of a scaling policy.

arn String: The ARN of the AutoScaling scaling policy
id String: The provider-assigned unique ID for this managed resource.
policyName String: Returns the name of a scaling policy.

arn string: The ARN of the AutoScaling scaling policy
id string: The provider-assigned unique ID for this managed resource.
policyName string: Returns the name of a scaling policy.

arn str: The ARN of the AutoScaling scaling policy
id str: The provider-assigned unique ID for this managed resource.
policy_name str: Returns the name of a scaling policy.

arn String: The ARN of the AutoScaling scaling policy
id String: The provider-assigned unique ID for this managed resource.
policyName String: Returns the name of a scaling policy.

Supporting Types

ScalingPolicyCustomizedMetricSpecification, ScalingPolicyCustomizedMetricSpecificationArgs

Dimensions List<Pulumi.AwsNative.AutoScaling.Inputs.ScalingPolicyMetricDimension>

The dimensions of the metric.

Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy.

MetricName string

The name of the metric. To get the exact metric name, namespace, and dimensions, inspect the Metric object that is returned by a call to ListMetrics .

Metrics List<Pulumi.AwsNative.AutoScaling.Inputs.ScalingPolicyTargetTrackingMetricDataQuery>

The metrics to include in the target tracking scaling policy, as a metric data query. This can include both raw metric and metric math expressions.

Namespace string

The namespace of the metric.

Statistic string

The statistic of the metric.

Unit string

The unit of the metric. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference .

Dimensions []ScalingPolicyMetricDimension

The dimensions of the metric.

Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy.

MetricName string

The name of the metric. To get the exact metric name, namespace, and dimensions, inspect the Metric object that is returned by a call to ListMetrics .

Metrics []ScalingPolicyTargetTrackingMetricDataQuery

The metrics to include in the target tracking scaling policy, as a metric data query. This can include both raw metric and metric math expressions.

Namespace string

The namespace of the metric.

Statistic string

The statistic of the metric.

Unit string

The unit of the metric. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference .

dimensions List<ScalingPolicyMetricDimension>

The dimensions of the metric.

Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy.

metricName String

The name of the metric. To get the exact metric name, namespace, and dimensions, inspect the Metric object that is returned by a call to ListMetrics .

metrics List<ScalingPolicyTargetTrackingMetricDataQuery>

The metrics to include in the target tracking scaling policy, as a metric data query. This can include both raw metric and metric math expressions.

namespace String

The namespace of the metric.

statistic String

The statistic of the metric.

unit String

The unit of the metric. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference .

dimensions ScalingPolicyMetricDimension[]

The dimensions of the metric.

Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy.

metricName string

The name of the metric. To get the exact metric name, namespace, and dimensions, inspect the Metric object that is returned by a call to ListMetrics .

metrics ScalingPolicyTargetTrackingMetricDataQuery[]

The metrics to include in the target tracking scaling policy, as a metric data query. This can include both raw metric and metric math expressions.

namespace string

The namespace of the metric.

statistic string

The statistic of the metric.

unit string

The unit of the metric. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference .

dimensions Sequence[ScalingPolicyMetricDimension]

The dimensions of the metric.

Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy.

metric_name str

The name of the metric. To get the exact metric name, namespace, and dimensions, inspect the Metric object that is returned by a call to ListMetrics .

metrics Sequence[ScalingPolicyTargetTrackingMetricDataQuery]

The metrics to include in the target tracking scaling policy, as a metric data query. This can include both raw metric and metric math expressions.

namespace str

The namespace of the metric.

statistic str

The statistic of the metric.

unit str

The unit of the metric. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference .

dimensions List<Property Map>

The dimensions of the metric.

Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy.

metricName String

The name of the metric. To get the exact metric name, namespace, and dimensions, inspect the Metric object that is returned by a call to ListMetrics .

metrics List<Property Map>

The metrics to include in the target tracking scaling policy, as a metric data query. This can include both raw metric and metric math expressions.

namespace String

The namespace of the metric.

statistic String

The statistic of the metric.

unit String

The unit of the metric. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference .

ScalingPolicyMetric, ScalingPolicyMetricArgs

MetricName string

The name of the metric.

Namespace string

The namespace of the metric. For more information, see the table in AWS services that publish CloudWatch metrics in the Amazon CloudWatch User Guide .

Dimensions List<Pulumi.AwsNative.AutoScaling.Inputs.ScalingPolicyMetricDimension>

The dimensions for the metric. For the list of available dimensions, see the AWS documentation available from the table in AWS services that publish CloudWatch metrics in the Amazon CloudWatch User Guide .

Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy.

MetricName string

The name of the metric.

Namespace string

The namespace of the metric. For more information, see the table in AWS services that publish CloudWatch metrics in the Amazon CloudWatch User Guide .

Dimensions []ScalingPolicyMetricDimension

Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy.

metricName String

The name of the metric.

namespace String

The namespace of the metric. For more information, see the table in AWS services that publish CloudWatch metrics in the Amazon CloudWatch User Guide .

dimensions List<ScalingPolicyMetricDimension>

Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy.

metricName string

The name of the metric.

namespace string

The namespace of the metric. For more information, see the table in AWS services that publish CloudWatch metrics in the Amazon CloudWatch User Guide .

dimensions ScalingPolicyMetricDimension[]

Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy.

metric_name str

The name of the metric.

namespace str

The namespace of the metric. For more information, see the table in AWS services that publish CloudWatch metrics in the Amazon CloudWatch User Guide .

dimensions Sequence[ScalingPolicyMetricDimension]

Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy.

metricName String

The name of the metric.

namespace String

The namespace of the metric. For more information, see the table in AWS services that publish CloudWatch metrics in the Amazon CloudWatch User Guide .

dimensions List<Property Map>

Conditional: If you published your metric with dimensions, you must specify the same dimensions in your scaling policy.

ScalingPolicyMetricDataQuery, ScalingPolicyMetricDataQueryArgs

Id string

A short name that identifies the object's results in the response. This name must be unique among all MetricDataQuery objects specified for a single scaling policy. If you are performing math expressions on this set of data, this name represents that data and can serve as a variable in the mathematical expression. The valid characters are letters, numbers, and underscores. The first character must be a lowercase letter.

Expression string

The math expression to perform on the returned data, if this object is performing a math expression. This expression can use the Id of the other metrics to refer to those metrics, and can also use the Id of other expressions to use the result of those expressions.

Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat , but not both.

Label string

A human-readable label for this metric or expression. This is especially useful if this is a math expression, so that you know what the value represents.

MetricStat Pulumi.AwsNative.AutoScaling.Inputs.ScalingPolicyMetricStat

Information about the metric data to return.

Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat , but not both.

ReturnData bool

Indicates whether to return the timestamps and raw data values of this metric.

If you use any math expressions, specify true for this value for only the final math expression that the metric specification is based on. You must specify false for ReturnData for all the other metrics and expressions used in the metric specification.

If you are only retrieving metrics and not performing any math expressions, do not specify anything for ReturnData . This sets it to its default ( true ).

Id string

Expression string

Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat , but not both.

Label string

A human-readable label for this metric or expression. This is especially useful if this is a math expression, so that you know what the value represents.

MetricStat ScalingPolicyMetricStat

Information about the metric data to return.

Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat , but not both.

ReturnData bool

Indicates whether to return the timestamps and raw data values of this metric.

If you are only retrieving metrics and not performing any math expressions, do not specify anything for ReturnData . This sets it to its default ( true ).

id String

expression String

Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat , but not both.

label String

A human-readable label for this metric or expression. This is especially useful if this is a math expression, so that you know what the value represents.

metricStat ScalingPolicyMetricStat

Information about the metric data to return.

Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat , but not both.

returnData Boolean

Indicates whether to return the timestamps and raw data values of this metric.

If you are only retrieving metrics and not performing any math expressions, do not specify anything for ReturnData . This sets it to its default ( true ).

id string

expression string

Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat , but not both.

label string

A human-readable label for this metric or expression. This is especially useful if this is a math expression, so that you know what the value represents.

metricStat ScalingPolicyMetricStat

Information about the metric data to return.

Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat , but not both.

returnData boolean

Indicates whether to return the timestamps and raw data values of this metric.

If you are only retrieving metrics and not performing any math expressions, do not specify anything for ReturnData . This sets it to its default ( true ).

id str

expression str

Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat , but not both.

label str

A human-readable label for this metric or expression. This is especially useful if this is a math expression, so that you know what the value represents.

metric_stat ScalingPolicyMetricStat

Information about the metric data to return.

Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat , but not both.

return_data bool

Indicates whether to return the timestamps and raw data values of this metric.

If you are only retrieving metrics and not performing any math expressions, do not specify anything for ReturnData . This sets it to its default ( true ).

id String

expression String

Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat , but not both.

label String

A human-readable label for this metric or expression. This is especially useful if this is a math expression, so that you know what the value represents.

metricStat Property Map

Information about the metric data to return.

Conditional: Within each MetricDataQuery object, you must specify either Expression or MetricStat , but not both.

returnData Boolean

Indicates whether to return the timestamps and raw data values of this metric.

If you are only retrieving metrics and not performing any math expressions, do not specify anything for ReturnData . This sets it to its default ( true ).

ScalingPolicyMetricDimension, ScalingPolicyMetricDimensionArgs

Name string: The name of the dimension.
Value string: The value of the dimension.

Name string: The name of the dimension.
Value string: The value of the dimension.

name String: The name of the dimension.
value String: The value of the dimension.

name string: The name of the dimension.
value string: The value of the dimension.

name str: The name of the dimension.
value str: The value of the dimension.

name String: The name of the dimension.
value String: The value of the dimension.

ScalingPolicyMetricStat, ScalingPolicyMetricStatArgs

Metric Pulumi.AwsNative.AutoScaling.Inputs.ScalingPolicyMetric

The CloudWatch metric to return, including the metric name, namespace, and dimensions. To get the exact metric name, namespace, and dimensions, inspect the Metric object that is returned by a call to ListMetrics .

Stat string

The statistic to return. It can include any CloudWatch statistic or extended statistic. For a list of valid values, see the table in Statistics in the Amazon CloudWatch User Guide .

The most commonly used metrics for predictive scaling are Average and Sum .

Unit string

The unit to use for the returned data points. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference .

Metric ScalingPolicyMetric

Stat string

The statistic to return. It can include any CloudWatch statistic or extended statistic. For a list of valid values, see the table in Statistics in the Amazon CloudWatch User Guide .

The most commonly used metrics for predictive scaling are Average and Sum .

Unit string

The unit to use for the returned data points. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference .

metric ScalingPolicyMetric

stat String

The statistic to return. It can include any CloudWatch statistic or extended statistic. For a list of valid values, see the table in Statistics in the Amazon CloudWatch User Guide .

The most commonly used metrics for predictive scaling are Average and Sum .

unit String

The unit to use for the returned data points. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference .

metric ScalingPolicyMetric

stat string

The statistic to return. It can include any CloudWatch statistic or extended statistic. For a list of valid values, see the table in Statistics in the Amazon CloudWatch User Guide .

The most commonly used metrics for predictive scaling are Average and Sum .

unit string

The unit to use for the returned data points. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference .

metric ScalingPolicyMetric

stat str

The statistic to return. It can include any CloudWatch statistic or extended statistic. For a list of valid values, see the table in Statistics in the Amazon CloudWatch User Guide .

The most commonly used metrics for predictive scaling are Average and Sum .

unit str

The unit to use for the returned data points. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference .

metric Property Map

stat String

The statistic to return. It can include any CloudWatch statistic or extended statistic. For a list of valid values, see the table in Statistics in the Amazon CloudWatch User Guide .

The most commonly used metrics for predictive scaling are Average and Sum .

unit String

The unit to use for the returned data points. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference .

ScalingPolicyPredefinedMetricSpecification, ScalingPolicyPredefinedMetricSpecificationArgs

PredefinedMetricType string

The metric type. The following predefined metrics are available:

ASGAverageCPUUtilization - Average CPU utilization of the Auto Scaling group.
ASGAverageNetworkIn - Average number of bytes received on all network interfaces by the Auto Scaling group.
ASGAverageNetworkOut - Average number of bytes sent out on all network interfaces by the Auto Scaling group.
ALBRequestCountPerTarget - Average Application Load Balancer request count per target for your Auto Scaling group.

ResourceLabel string

A label that uniquely identifies a specific Application Load Balancer target group from which to determine the average request count served by your Auto Scaling group. You can't specify a resource label unless the target group is attached to the Auto Scaling group.

You create the resource label by appending the final portion of the load balancer ARN and the final portion of the target group ARN into a single value, separated by a forward slash (/). The format of the resource label is:

app/my-alb/778d41231b141a0f/targetgroup/my-alb-target-group/943f017f100becff .

Where:

app// is the final portion of the load balancer ARN
targetgroup// is the final portion of the target group ARN.

To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use the DescribeTargetGroups API operation.

PredefinedMetricType string

The metric type. The following predefined metrics are available:

ASGAverageCPUUtilization - Average CPU utilization of the Auto Scaling group.
ASGAverageNetworkIn - Average number of bytes received on all network interfaces by the Auto Scaling group.
ASGAverageNetworkOut - Average number of bytes sent out on all network interfaces by the Auto Scaling group.
ALBRequestCountPerTarget - Average Application Load Balancer request count per target for your Auto Scaling group.

ResourceLabel string

app/my-alb/778d41231b141a0f/targetgroup/my-alb-target-group/943f017f100becff .

Where:

app// is the final portion of the load balancer ARN
targetgroup// is the final portion of the target group ARN.

To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use the DescribeTargetGroups API operation.

predefinedMetricType String

The metric type. The following predefined metrics are available:

ASGAverageCPUUtilization - Average CPU utilization of the Auto Scaling group.
ASGAverageNetworkIn - Average number of bytes received on all network interfaces by the Auto Scaling group.
ASGAverageNetworkOut - Average number of bytes sent out on all network interfaces by the Auto Scaling group.
ALBRequestCountPerTarget - Average Application Load Balancer request count per target for your Auto Scaling group.

resourceLabel String

app/my-alb/778d41231b141a0f/targetgroup/my-alb-target-group/943f017f100becff .

Where:

app// is the final portion of the load balancer ARN
targetgroup// is the final portion of the target group ARN.

To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use the DescribeTargetGroups API operation.

predefinedMetricType string

The metric type. The following predefined metrics are available:

ASGAverageCPUUtilization - Average CPU utilization of the Auto Scaling group.
ASGAverageNetworkIn - Average number of bytes received on all network interfaces by the Auto Scaling group.
ASGAverageNetworkOut - Average number of bytes sent out on all network interfaces by the Auto Scaling group.
ALBRequestCountPerTarget - Average Application Load Balancer request count per target for your Auto Scaling group.

resourceLabel string

app/my-alb/778d41231b141a0f/targetgroup/my-alb-target-group/943f017f100becff .

Where:

app// is the final portion of the load balancer ARN
targetgroup// is the final portion of the target group ARN.

To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use the DescribeTargetGroups API operation.

predefined_metric_type str

The metric type. The following predefined metrics are available:

ASGAverageCPUUtilization - Average CPU utilization of the Auto Scaling group.
ASGAverageNetworkIn - Average number of bytes received on all network interfaces by the Auto Scaling group.
ASGAverageNetworkOut - Average number of bytes sent out on all network interfaces by the Auto Scaling group.
ALBRequestCountPerTarget - Average Application Load Balancer request count per target for your Auto Scaling group.

resource_label str

app/my-alb/778d41231b141a0f/targetgroup/my-alb-target-group/943f017f100becff .

Where:

app// is the final portion of the load balancer ARN
targetgroup// is the final portion of the target group ARN.

To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use the DescribeTargetGroups API operation.

predefinedMetricType String

The metric type. The following predefined metrics are available:

ASGAverageCPUUtilization - Average CPU utilization of the Auto Scaling group.
ASGAverageNetworkIn - Average number of bytes received on all network interfaces by the Auto Scaling group.
ASGAverageNetworkOut - Average number of bytes sent out on all network interfaces by the Auto Scaling group.
ALBRequestCountPerTarget - Average Application Load Balancer request count per target for your Auto Scaling group.

resourceLabel String

app/my-alb/778d41231b141a0f/targetgroup/my-alb-target-group/943f017f100becff .

Where:

app// is the final portion of the load balancer ARN
targetgroup// is the final portion of the target group ARN.

To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use the DescribeTargetGroups API operation.

ScalingPolicyPredictiveScalingConfiguration, ScalingPolicyPredictiveScalingConfigurationArgs

MetricSpecifications List<Pulumi.AwsNative.AutoScaling.Inputs.ScalingPolicyPredictiveScalingMetricSpecification>

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.

MaxCapacityBreachBehavior string

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 can't increase the maximum capacity of the group when the forecast capacity is close to or exceeds the maximum capacity.
IncreaseMaxCapacity - Amazon EC2 Auto Scaling can increase the maximum capacity of the group 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 .

Use caution when allowing the maximum capacity to be automatically increased. This can lead to more instances being launched than intended if the increased maximum capacity is not monitored and managed. The increased maximum capacity then becomes the new normal maximum capacity for the Auto Scaling group until you manually update it. The maximum capacity does not automatically decrease back to the original maximum.

MaxCapacityBuffer int

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 string

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

SchedulingBufferTime int

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.

MetricSpecifications []ScalingPolicyPredictiveScalingMetricSpecification

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

MaxCapacityBreachBehavior string

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 can't increase the maximum capacity of the group when the forecast capacity is close to or exceeds the maximum capacity.
IncreaseMaxCapacity - Amazon EC2 Auto Scaling can increase the maximum capacity of the group 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 .

Use caution when allowing the maximum capacity to be automatically increased. This can lead to more instances being launched than intended if the increased maximum capacity is not monitored and managed. The increased maximum capacity then becomes the new normal maximum capacity for the Auto Scaling group until you manually update it. The maximum capacity does not automatically decrease back to the original maximum.

MaxCapacityBuffer int

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 string

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

SchedulingBufferTime int

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

metricSpecifications List<ScalingPolicyPredictiveScalingMetricSpecification>

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

maxCapacityBreachBehavior String

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 can't increase the maximum capacity of the group when the forecast capacity is close to or exceeds the maximum capacity.
IncreaseMaxCapacity - Amazon EC2 Auto Scaling can increase the maximum capacity of the group 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 .

Use caution when allowing the maximum capacity to be automatically increased. This can lead to more instances being launched than intended if the increased maximum capacity is not monitored and managed. The increased maximum capacity then becomes the new normal maximum capacity for the Auto Scaling group until you manually update it. The maximum capacity does not automatically decrease back to the original maximum.

maxCapacityBuffer Integer

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 String

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

schedulingBufferTime Integer

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

metricSpecifications ScalingPolicyPredictiveScalingMetricSpecification[]

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

maxCapacityBreachBehavior string

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 can't increase the maximum capacity of the group when the forecast capacity is close to or exceeds the maximum capacity.
IncreaseMaxCapacity - Amazon EC2 Auto Scaling can increase the maximum capacity of the group 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 .

Use caution when allowing the maximum capacity to be automatically increased. This can lead to more instances being launched than intended if the increased maximum capacity is not monitored and managed. The increased maximum capacity then becomes the new normal maximum capacity for the Auto Scaling group until you manually update it. The maximum capacity does not automatically decrease back to the original maximum.

maxCapacityBuffer number

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 string

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

schedulingBufferTime number

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

metric_specifications Sequence[ScalingPolicyPredictiveScalingMetricSpecification]

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

max_capacity_breach_behavior str

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 can't increase the maximum capacity of the group when the forecast capacity is close to or exceeds the maximum capacity.
IncreaseMaxCapacity - Amazon EC2 Auto Scaling can increase the maximum capacity of the group 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 .

Use caution when allowing the maximum capacity to be automatically increased. This can lead to more instances being launched than intended if the increased maximum capacity is not monitored and managed. The increased maximum capacity then becomes the new normal maximum capacity for the Auto Scaling group until you manually update it. The maximum capacity does not automatically decrease back to the original maximum.

max_capacity_buffer int

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 str

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

scheduling_buffer_time int

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

metricSpecifications List<Property Map>

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

maxCapacityBreachBehavior String

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 can't increase the maximum capacity of the group when the forecast capacity is close to or exceeds the maximum capacity.
IncreaseMaxCapacity - Amazon EC2 Auto Scaling can increase the maximum capacity of the group 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 .

Use caution when allowing the maximum capacity to be automatically increased. This can lead to more instances being launched than intended if the increased maximum capacity is not monitored and managed. The increased maximum capacity then becomes the new normal maximum capacity for the Auto Scaling group until you manually update it. The maximum capacity does not automatically decrease back to the original maximum.

maxCapacityBuffer Number

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 String

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

schedulingBufferTime Number

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

ScalingPolicyPredictiveScalingCustomizedCapacityMetric, ScalingPolicyPredictiveScalingCustomizedCapacityMetricArgs

MetricDataQueries List<Pulumi.AwsNative.AutoScaling.Inputs.ScalingPolicyMetricDataQuery>: One or more metric data queries to provide the data points for a capacity metric. Use multiple metric data queries only if you are performing a math expression on returned data.

MetricDataQueries []ScalingPolicyMetricDataQuery: One or more metric data queries to provide the data points for a capacity metric. Use multiple metric data queries only if you are performing a math expression on returned data.

metricDataQueries List<ScalingPolicyMetricDataQuery>: One or more metric data queries to provide the data points for a capacity metric. Use multiple metric data queries only if you are performing a math expression on returned data.

metricDataQueries ScalingPolicyMetricDataQuery[]: One or more metric data queries to provide the data points for a capacity metric. Use multiple metric data queries only if you are performing a math expression on returned data.

metric_data_queries Sequence[ScalingPolicyMetricDataQuery]: One or more metric data queries to provide the data points for a capacity metric. Use multiple metric data queries only if you are performing a math expression on returned data.

metricDataQueries List<Property Map>: One or more metric data queries to provide the data points for a capacity metric. Use multiple metric data queries only if you are performing a math expression on returned data.

ScalingPolicyPredictiveScalingCustomizedLoadMetric, ScalingPolicyPredictiveScalingCustomizedLoadMetricArgs

MetricDataQueries List<Pulumi.AwsNative.AutoScaling.Inputs.ScalingPolicyMetricDataQuery>: One or more metric data queries to provide the data points for a load metric. Use multiple metric data queries only if you are performing a math expression on returned data.

MetricDataQueries []ScalingPolicyMetricDataQuery: One or more metric data queries to provide the data points for a load metric. Use multiple metric data queries only if you are performing a math expression on returned data.

metricDataQueries List<ScalingPolicyMetricDataQuery>: One or more metric data queries to provide the data points for a load metric. Use multiple metric data queries only if you are performing a math expression on returned data.

metricDataQueries ScalingPolicyMetricDataQuery[]: One or more metric data queries to provide the data points for a load metric. Use multiple metric data queries only if you are performing a math expression on returned data.

metric_data_queries Sequence[ScalingPolicyMetricDataQuery]: One or more metric data queries to provide the data points for a load metric. Use multiple metric data queries only if you are performing a math expression on returned data.

metricDataQueries List<Property Map>: One or more metric data queries to provide the data points for a load metric. Use multiple metric data queries only if you are performing a math expression on returned data.

ScalingPolicyPredictiveScalingCustomizedScalingMetric, ScalingPolicyPredictiveScalingCustomizedScalingMetricArgs

MetricDataQueries List<Pulumi.AwsNative.AutoScaling.Inputs.ScalingPolicyMetricDataQuery>: One or more metric data queries to provide the data points for a scaling metric. Use multiple metric data queries only if you are performing a math expression on returned data.

MetricDataQueries []ScalingPolicyMetricDataQuery: One or more metric data queries to provide the data points for a scaling metric. Use multiple metric data queries only if you are performing a math expression on returned data.

metricDataQueries List<ScalingPolicyMetricDataQuery>: One or more metric data queries to provide the data points for a scaling metric. Use multiple metric data queries only if you are performing a math expression on returned data.

metricDataQueries ScalingPolicyMetricDataQuery[]: One or more metric data queries to provide the data points for a scaling metric. Use multiple metric data queries only if you are performing a math expression on returned data.

metric_data_queries Sequence[ScalingPolicyMetricDataQuery]: One or more metric data queries to provide the data points for a scaling metric. Use multiple metric data queries only if you are performing a math expression on returned data.

metricDataQueries List<Property Map>: One or more metric data queries to provide the data points for a scaling metric. Use multiple metric data queries only if you are performing a math expression on returned data.

ScalingPolicyPredictiveScalingMetricSpecification, ScalingPolicyPredictiveScalingMetricSpecificationArgs

TargetValue double: Specifies the target utilization.
Some metrics are based on a count instead of a percentage, such as the request count for an Application Load Balancer or the number of messages in an SQS queue. If the scaling policy specifies one of these metrics, specify the target utilization as the optimal average request or message count per instance during any one-minute interval.
CustomizedCapacityMetricSpecification Pulumi.AwsNative.AutoScaling.Inputs.ScalingPolicyPredictiveScalingCustomizedCapacityMetric: The customized capacity metric specification.
CustomizedLoadMetricSpecification Pulumi.AwsNative.AutoScaling.Inputs.ScalingPolicyPredictiveScalingCustomizedLoadMetric: The customized load metric specification.
CustomizedScalingMetricSpecification Pulumi.AwsNative.AutoScaling.Inputs.ScalingPolicyPredictiveScalingCustomizedScalingMetric: The customized scaling metric specification.
PredefinedLoadMetricSpecification Pulumi.AwsNative.AutoScaling.Inputs.ScalingPolicyPredictiveScalingPredefinedLoadMetric: The predefined load metric specification.
PredefinedMetricPairSpecification Pulumi.AwsNative.AutoScaling.Inputs.ScalingPolicyPredictiveScalingPredefinedMetricPair: The predefined metric pair specification from which Amazon EC2 Auto Scaling determines the appropriate scaling metric and load metric to use.
PredefinedScalingMetricSpecification Pulumi.AwsNative.AutoScaling.Inputs.ScalingPolicyPredictiveScalingPredefinedScalingMetric: The predefined scaling metric specification.

TargetValue float64: Specifies the target utilization.
Some metrics are based on a count instead of a percentage, such as the request count for an Application Load Balancer or the number of messages in an SQS queue. If the scaling policy specifies one of these metrics, specify the target utilization as the optimal average request or message count per instance during any one-minute interval.
CustomizedCapacityMetricSpecification ScalingPolicyPredictiveScalingCustomizedCapacityMetric: The customized capacity metric specification.
CustomizedLoadMetricSpecification ScalingPolicyPredictiveScalingCustomizedLoadMetric: The customized load metric specification.
CustomizedScalingMetricSpecification ScalingPolicyPredictiveScalingCustomizedScalingMetric: The customized scaling metric specification.
PredefinedLoadMetricSpecification ScalingPolicyPredictiveScalingPredefinedLoadMetric: The predefined load metric specification.
PredefinedMetricPairSpecification ScalingPolicyPredictiveScalingPredefinedMetricPair: The predefined metric pair specification from which Amazon EC2 Auto Scaling determines the appropriate scaling metric and load metric to use.
PredefinedScalingMetricSpecification ScalingPolicyPredictiveScalingPredefinedScalingMetric: The predefined scaling metric specification.

targetValue Double: Specifies the target utilization.
Some metrics are based on a count instead of a percentage, such as the request count for an Application Load Balancer or the number of messages in an SQS queue. If the scaling policy specifies one of these metrics, specify the target utilization as the optimal average request or message count per instance during any one-minute interval.
customizedCapacityMetricSpecification ScalingPolicyPredictiveScalingCustomizedCapacityMetric: The customized capacity metric specification.
customizedLoadMetricSpecification ScalingPolicyPredictiveScalingCustomizedLoadMetric: The customized load metric specification.
customizedScalingMetricSpecification ScalingPolicyPredictiveScalingCustomizedScalingMetric: The customized scaling metric specification.
predefinedLoadMetricSpecification ScalingPolicyPredictiveScalingPredefinedLoadMetric: The predefined load metric specification.
predefinedMetricPairSpecification ScalingPolicyPredictiveScalingPredefinedMetricPair: The predefined metric pair specification from which Amazon EC2 Auto Scaling determines the appropriate scaling metric and load metric to use.
predefinedScalingMetricSpecification ScalingPolicyPredictiveScalingPredefinedScalingMetric: The predefined scaling metric specification.

targetValue number: Specifies the target utilization.
Some metrics are based on a count instead of a percentage, such as the request count for an Application Load Balancer or the number of messages in an SQS queue. If the scaling policy specifies one of these metrics, specify the target utilization as the optimal average request or message count per instance during any one-minute interval.
customizedCapacityMetricSpecification ScalingPolicyPredictiveScalingCustomizedCapacityMetric: The customized capacity metric specification.
customizedLoadMetricSpecification ScalingPolicyPredictiveScalingCustomizedLoadMetric: The customized load metric specification.
customizedScalingMetricSpecification ScalingPolicyPredictiveScalingCustomizedScalingMetric: The customized scaling metric specification.
predefinedLoadMetricSpecification ScalingPolicyPredictiveScalingPredefinedLoadMetric: The predefined load metric specification.
predefinedMetricPairSpecification ScalingPolicyPredictiveScalingPredefinedMetricPair: The predefined metric pair specification from which Amazon EC2 Auto Scaling determines the appropriate scaling metric and load metric to use.
predefinedScalingMetricSpecification ScalingPolicyPredictiveScalingPredefinedScalingMetric: The predefined scaling metric specification.

target_value float: Specifies the target utilization.
Some metrics are based on a count instead of a percentage, such as the request count for an Application Load Balancer or the number of messages in an SQS queue. If the scaling policy specifies one of these metrics, specify the target utilization as the optimal average request or message count per instance during any one-minute interval.
customized_capacity_metric_specification ScalingPolicyPredictiveScalingCustomizedCapacityMetric: The customized capacity metric specification.
customized_load_metric_specification ScalingPolicyPredictiveScalingCustomizedLoadMetric: The customized load metric specification.
customized_scaling_metric_specification ScalingPolicyPredictiveScalingCustomizedScalingMetric: The customized scaling metric specification.
predefined_load_metric_specification ScalingPolicyPredictiveScalingPredefinedLoadMetric: The predefined load metric specification.
predefined_metric_pair_specification ScalingPolicyPredictiveScalingPredefinedMetricPair: The predefined metric pair specification from which Amazon EC2 Auto Scaling determines the appropriate scaling metric and load metric to use.
predefined_scaling_metric_specification ScalingPolicyPredictiveScalingPredefinedScalingMetric: The predefined scaling metric specification.

targetValue Number: Specifies the target utilization.
Some metrics are based on a count instead of a percentage, such as the request count for an Application Load Balancer or the number of messages in an SQS queue. If the scaling policy specifies one of these metrics, specify the target utilization as the optimal average request or message count per instance during any one-minute interval.
customizedCapacityMetricSpecification Property Map: The customized capacity metric specification.
customizedLoadMetricSpecification Property Map: The customized load metric specification.
customizedScalingMetricSpecification Property Map: The customized scaling metric specification.
predefinedLoadMetricSpecification Property Map: The predefined load metric specification.
predefinedMetricPairSpecification Property Map: The predefined metric pair specification from which Amazon EC2 Auto Scaling determines the appropriate scaling metric and load metric to use.
predefinedScalingMetricSpecification Property Map: The predefined scaling metric specification.

ScalingPolicyPredictiveScalingPredefinedLoadMetric, ScalingPolicyPredictiveScalingPredefinedLoadMetricArgs

PredefinedMetricType string

The metric type.

ResourceLabel string

A label that uniquely identifies a specific Application Load Balancer target group from which to determine the request count served by your Auto Scaling group. You can't specify a resource label unless the target group is attached to the Auto Scaling group.

app/my-alb/778d41231b141a0f/targetgroup/my-alb-target-group/943f017f100becff .

Where:

app// is the final portion of the load balancer ARN
targetgroup// is the final portion of the target group ARN.

To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use the DescribeTargetGroups API operation.

PredefinedMetricType string

The metric type.

ResourceLabel string

app/my-alb/778d41231b141a0f/targetgroup/my-alb-target-group/943f017f100becff .

Where:

app// is the final portion of the load balancer ARN
targetgroup// is the final portion of the target group ARN.

To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use the DescribeTargetGroups API operation.

predefinedMetricType String

The metric type.

resourceLabel String

app/my-alb/778d41231b141a0f/targetgroup/my-alb-target-group/943f017f100becff .

Where:

app// is the final portion of the load balancer ARN
targetgroup// is the final portion of the target group ARN.

To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use the DescribeTargetGroups API operation.

predefinedMetricType string

The metric type.

resourceLabel string

app/my-alb/778d41231b141a0f/targetgroup/my-alb-target-group/943f017f100becff .

Where:

app// is the final portion of the load balancer ARN
targetgroup// is the final portion of the target group ARN.

To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use the DescribeTargetGroups API operation.

predefined_metric_type str

The metric type.

resource_label str

app/my-alb/778d41231b141a0f/targetgroup/my-alb-target-group/943f017f100becff .

Where:

app// is the final portion of the load balancer ARN
targetgroup// is the final portion of the target group ARN.

To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use the DescribeTargetGroups API operation.

predefinedMetricType String

The metric type.

resourceLabel String

app/my-alb/778d41231b141a0f/targetgroup/my-alb-target-group/943f017f100becff .

Where:

app// is the final portion of the load balancer ARN
targetgroup// is the final portion of the target group ARN.

To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use the DescribeTargetGroups API operation.

ScalingPolicyPredictiveScalingPredefinedMetricPair, ScalingPolicyPredictiveScalingPredefinedMetricPairArgs

PredefinedMetricType string

Indicates which metrics to use. There are two different types of metrics for each metric type: one is a load metric and one is a scaling metric. For example, if the metric type is ASGCPUUtilization , the Auto Scaling group's total CPU metric is used as the load metric, and the average CPU metric is used for the scaling metric.

ResourceLabel string

A label that uniquely identifies a specific Application Load Balancer target group from which to determine the total and average request count served by your Auto Scaling group. You can't specify a resource label unless the target group is attached to the Auto Scaling group.

app/my-alb/778d41231b141a0f/targetgroup/my-alb-target-group/943f017f100becff .

Where:

app// is the final portion of the load balancer ARN
targetgroup// is the final portion of the target group ARN.

To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use the DescribeTargetGroups API operation.

PredefinedMetricType string

ResourceLabel string

app/my-alb/778d41231b141a0f/targetgroup/my-alb-target-group/943f017f100becff .

Where:

app// is the final portion of the load balancer ARN
targetgroup// is the final portion of the target group ARN.

To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use the DescribeTargetGroups API operation.

predefinedMetricType String

resourceLabel String

app/my-alb/778d41231b141a0f/targetgroup/my-alb-target-group/943f017f100becff .

Where:

app// is the final portion of the load balancer ARN
targetgroup// is the final portion of the target group ARN.

To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use the DescribeTargetGroups API operation.

predefinedMetricType string

resourceLabel string

app/my-alb/778d41231b141a0f/targetgroup/my-alb-target-group/943f017f100becff .

Where:

app// is the final portion of the load balancer ARN
targetgroup// is the final portion of the target group ARN.

To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use the DescribeTargetGroups API operation.

predefined_metric_type str

resource_label str

app/my-alb/778d41231b141a0f/targetgroup/my-alb-target-group/943f017f100becff .

Where:

app// is the final portion of the load balancer ARN
targetgroup// is the final portion of the target group ARN.

To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use the DescribeTargetGroups API operation.

predefinedMetricType String

resourceLabel String

app/my-alb/778d41231b141a0f/targetgroup/my-alb-target-group/943f017f100becff .

Where:

app// is the final portion of the load balancer ARN
targetgroup// is the final portion of the target group ARN.

To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use the DescribeTargetGroups API operation.

ScalingPolicyPredictiveScalingPredefinedScalingMetric, ScalingPolicyPredictiveScalingPredefinedScalingMetricArgs

PredefinedMetricType string

The metric type.

ResourceLabel string

app/my-alb/778d41231b141a0f/targetgroup/my-alb-target-group/943f017f100becff .

Where:

app// is the final portion of the load balancer ARN
targetgroup// is the final portion of the target group ARN.

To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use the DescribeTargetGroups API operation.

PredefinedMetricType string

The metric type.

ResourceLabel string

app/my-alb/778d41231b141a0f/targetgroup/my-alb-target-group/943f017f100becff .

Where:

app// is the final portion of the load balancer ARN
targetgroup// is the final portion of the target group ARN.

To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use the DescribeTargetGroups API operation.

predefinedMetricType String

The metric type.

resourceLabel String

app/my-alb/778d41231b141a0f/targetgroup/my-alb-target-group/943f017f100becff .

Where:

app// is the final portion of the load balancer ARN
targetgroup// is the final portion of the target group ARN.

To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use the DescribeTargetGroups API operation.

predefinedMetricType string

The metric type.

resourceLabel string

app/my-alb/778d41231b141a0f/targetgroup/my-alb-target-group/943f017f100becff .

Where:

app// is the final portion of the load balancer ARN
targetgroup// is the final portion of the target group ARN.

To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use the DescribeTargetGroups API operation.

predefined_metric_type str

The metric type.

resource_label str

app/my-alb/778d41231b141a0f/targetgroup/my-alb-target-group/943f017f100becff .

Where:

app// is the final portion of the load balancer ARN
targetgroup// is the final portion of the target group ARN.

To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use the DescribeTargetGroups API operation.

predefinedMetricType String

The metric type.

resourceLabel String

app/my-alb/778d41231b141a0f/targetgroup/my-alb-target-group/943f017f100becff .

Where:

app// is the final portion of the load balancer ARN
targetgroup// is the final portion of the target group ARN.

To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use the DescribeTargetGroups API operation.

ScalingPolicyStepAdjustment, ScalingPolicyStepAdjustmentArgs

ScalingAdjustment int

The amount by which to scale, based on the specified adjustment type. A positive value adds to the current capacity while a negative number removes from the current capacity. For exact capacity, you must specify a non-negative value.

MetricIntervalLowerBound double

The lower bound for the difference between the alarm threshold and the CloudWatch metric. If the metric value is above the breach threshold, the lower bound is inclusive (the metric must be greater than or equal to the threshold plus the lower bound). Otherwise, it is exclusive (the metric must be greater than the threshold plus the lower bound). A null value indicates negative infinity.

MetricIntervalUpperBound double

The upper bound for the difference between the alarm threshold and the CloudWatch metric. If the metric value is above the breach threshold, the upper bound is exclusive (the metric must be less than the threshold plus the upper bound). Otherwise, it is inclusive (the metric must be less than or equal to the threshold plus the upper bound). A null value indicates positive infinity.

The upper bound must be greater than the lower bound.

ScalingAdjustment int

MetricIntervalLowerBound float64

MetricIntervalUpperBound float64

The upper bound must be greater than the lower bound.

scalingAdjustment Integer

metricIntervalLowerBound Double

metricIntervalUpperBound Double

The upper bound must be greater than the lower bound.

scalingAdjustment number

metricIntervalLowerBound number

metricIntervalUpperBound number

The upper bound must be greater than the lower bound.

scaling_adjustment int

metric_interval_lower_bound float

metric_interval_upper_bound float

The upper bound must be greater than the lower bound.

scalingAdjustment Number

metricIntervalLowerBound Number

metricIntervalUpperBound Number

The upper bound must be greater than the lower bound.

ScalingPolicyTargetTrackingConfiguration, ScalingPolicyTargetTrackingConfigurationArgs

TargetValue double: The target value for the metric.
Some metrics are based on a count instead of a percentage, such as the request count for an Application Load Balancer or the number of messages in an SQS queue. If the scaling policy specifies one of these metrics, specify the target utilization as the optimal average request or message count per instance during any one-minute interval.
CustomizedMetricSpecification Pulumi.AwsNative.AutoScaling.Inputs.ScalingPolicyCustomizedMetricSpecification: A customized metric. You must specify either a predefined metric or a customized metric.
DisableScaleIn bool: Indicates whether scaling in by the target tracking scaling policy is disabled. If scaling in is disabled, the target tracking scaling policy doesn't remove instances from the Auto Scaling group. Otherwise, the target tracking scaling policy can remove instances from the Auto Scaling group. The default is false .
PredefinedMetricSpecification Pulumi.AwsNative.AutoScaling.Inputs.ScalingPolicyPredefinedMetricSpecification: A predefined metric. You must specify either a predefined metric or a customized metric.

TargetValue float64: The target value for the metric.
Some metrics are based on a count instead of a percentage, such as the request count for an Application Load Balancer or the number of messages in an SQS queue. If the scaling policy specifies one of these metrics, specify the target utilization as the optimal average request or message count per instance during any one-minute interval.
CustomizedMetricSpecification ScalingPolicyCustomizedMetricSpecification: A customized metric. You must specify either a predefined metric or a customized metric.
DisableScaleIn bool: Indicates whether scaling in by the target tracking scaling policy is disabled. If scaling in is disabled, the target tracking scaling policy doesn't remove instances from the Auto Scaling group. Otherwise, the target tracking scaling policy can remove instances from the Auto Scaling group. The default is false .
PredefinedMetricSpecification ScalingPolicyPredefinedMetricSpecification: A predefined metric. You must specify either a predefined metric or a customized metric.

targetValue Double: The target value for the metric.
Some metrics are based on a count instead of a percentage, such as the request count for an Application Load Balancer or the number of messages in an SQS queue. If the scaling policy specifies one of these metrics, specify the target utilization as the optimal average request or message count per instance during any one-minute interval.
customizedMetricSpecification ScalingPolicyCustomizedMetricSpecification: A customized metric. You must specify either a predefined metric or a customized metric.
disableScaleIn Boolean: Indicates whether scaling in by the target tracking scaling policy is disabled. If scaling in is disabled, the target tracking scaling policy doesn't remove instances from the Auto Scaling group. Otherwise, the target tracking scaling policy can remove instances from the Auto Scaling group. The default is false .
predefinedMetricSpecification ScalingPolicyPredefinedMetricSpecification: A predefined metric. You must specify either a predefined metric or a customized metric.

targetValue number: The target value for the metric.
Some metrics are based on a count instead of a percentage, such as the request count for an Application Load Balancer or the number of messages in an SQS queue. If the scaling policy specifies one of these metrics, specify the target utilization as the optimal average request or message count per instance during any one-minute interval.
customizedMetricSpecification ScalingPolicyCustomizedMetricSpecification: A customized metric. You must specify either a predefined metric or a customized metric.
disableScaleIn boolean: Indicates whether scaling in by the target tracking scaling policy is disabled. If scaling in is disabled, the target tracking scaling policy doesn't remove instances from the Auto Scaling group. Otherwise, the target tracking scaling policy can remove instances from the Auto Scaling group. The default is false .
predefinedMetricSpecification ScalingPolicyPredefinedMetricSpecification: A predefined metric. You must specify either a predefined metric or a customized metric.

target_value float: The target value for the metric.
Some metrics are based on a count instead of a percentage, such as the request count for an Application Load Balancer or the number of messages in an SQS queue. If the scaling policy specifies one of these metrics, specify the target utilization as the optimal average request or message count per instance during any one-minute interval.
customized_metric_specification ScalingPolicyCustomizedMetricSpecification: A customized metric. You must specify either a predefined metric or a customized metric.
disable_scale_in bool: Indicates whether scaling in by the target tracking scaling policy is disabled. If scaling in is disabled, the target tracking scaling policy doesn't remove instances from the Auto Scaling group. Otherwise, the target tracking scaling policy can remove instances from the Auto Scaling group. The default is false .
predefined_metric_specification ScalingPolicyPredefinedMetricSpecification: A predefined metric. You must specify either a predefined metric or a customized metric.

targetValue Number: The target value for the metric.
Some metrics are based on a count instead of a percentage, such as the request count for an Application Load Balancer or the number of messages in an SQS queue. If the scaling policy specifies one of these metrics, specify the target utilization as the optimal average request or message count per instance during any one-minute interval.
customizedMetricSpecification Property Map: A customized metric. You must specify either a predefined metric or a customized metric.
disableScaleIn Boolean: Indicates whether scaling in by the target tracking scaling policy is disabled. If scaling in is disabled, the target tracking scaling policy doesn't remove instances from the Auto Scaling group. Otherwise, the target tracking scaling policy can remove instances from the Auto Scaling group. The default is false .
predefinedMetricSpecification Property Map: A predefined metric. You must specify either a predefined metric or a customized metric.

ScalingPolicyTargetTrackingMetricDataQuery, ScalingPolicyTargetTrackingMetricDataQueryArgs

Id string

A short name that identifies the object's results in the response. This name must be unique among all TargetTrackingMetricDataQuery objects specified for a single scaling policy. If you are performing math expressions on this set of data, this name represents that data and can serve as a variable in the mathematical expression. The valid characters are letters, numbers, and underscores. The first character must be a lowercase letter.

Expression string

Conditional: Within each TargetTrackingMetricDataQuery object, you must specify either Expression or MetricStat , but not both.

Label string

A human-readable label for this metric or expression. This is especially useful if this is a math expression, so that you know what the value represents.

MetricStat Pulumi.AwsNative.AutoScaling.Inputs.ScalingPolicyTargetTrackingMetricStat

Information about the metric data to return.

Conditional: Within each TargetTrackingMetricDataQuery object, you must specify either Expression or MetricStat , but not both.

ReturnData bool

Indicates whether to return the timestamps and raw data values of this metric.

If you are only retrieving metrics and not performing any math expressions, do not specify anything for ReturnData . This sets it to its default ( true ).

Id string

Expression string

Conditional: Within each TargetTrackingMetricDataQuery object, you must specify either Expression or MetricStat , but not both.

Label string

A human-readable label for this metric or expression. This is especially useful if this is a math expression, so that you know what the value represents.

MetricStat ScalingPolicyTargetTrackingMetricStat

Information about the metric data to return.

Conditional: Within each TargetTrackingMetricDataQuery object, you must specify either Expression or MetricStat , but not both.

ReturnData bool

Indicates whether to return the timestamps and raw data values of this metric.

If you are only retrieving metrics and not performing any math expressions, do not specify anything for ReturnData . This sets it to its default ( true ).

id String

expression String

Conditional: Within each TargetTrackingMetricDataQuery object, you must specify either Expression or MetricStat , but not both.

label String

A human-readable label for this metric or expression. This is especially useful if this is a math expression, so that you know what the value represents.

metricStat ScalingPolicyTargetTrackingMetricStat

Information about the metric data to return.

Conditional: Within each TargetTrackingMetricDataQuery object, you must specify either Expression or MetricStat , but not both.

returnData Boolean

Indicates whether to return the timestamps and raw data values of this metric.

If you are only retrieving metrics and not performing any math expressions, do not specify anything for ReturnData . This sets it to its default ( true ).

id string

expression string

Conditional: Within each TargetTrackingMetricDataQuery object, you must specify either Expression or MetricStat , but not both.

label string

A human-readable label for this metric or expression. This is especially useful if this is a math expression, so that you know what the value represents.

metricStat ScalingPolicyTargetTrackingMetricStat

Information about the metric data to return.

Conditional: Within each TargetTrackingMetricDataQuery object, you must specify either Expression or MetricStat , but not both.

returnData boolean

Indicates whether to return the timestamps and raw data values of this metric.

If you are only retrieving metrics and not performing any math expressions, do not specify anything for ReturnData . This sets it to its default ( true ).

id str

expression str

Conditional: Within each TargetTrackingMetricDataQuery object, you must specify either Expression or MetricStat , but not both.

label str

A human-readable label for this metric or expression. This is especially useful if this is a math expression, so that you know what the value represents.

metric_stat ScalingPolicyTargetTrackingMetricStat

Information about the metric data to return.

Conditional: Within each TargetTrackingMetricDataQuery object, you must specify either Expression or MetricStat , but not both.

return_data bool

Indicates whether to return the timestamps and raw data values of this metric.

If you are only retrieving metrics and not performing any math expressions, do not specify anything for ReturnData . This sets it to its default ( true ).

id String

expression String

Conditional: Within each TargetTrackingMetricDataQuery object, you must specify either Expression or MetricStat , but not both.

label String

A human-readable label for this metric or expression. This is especially useful if this is a math expression, so that you know what the value represents.

metricStat Property Map

Information about the metric data to return.

Conditional: Within each TargetTrackingMetricDataQuery object, you must specify either Expression or MetricStat , but not both.

returnData Boolean

Indicates whether to return the timestamps and raw data values of this metric.

If you are only retrieving metrics and not performing any math expressions, do not specify anything for ReturnData . This sets it to its default ( true ).

ScalingPolicyTargetTrackingMetricStat, ScalingPolicyTargetTrackingMetricStatArgs

Metric Pulumi.AwsNative.AutoScaling.Inputs.ScalingPolicyMetric

The metric to use.

Stat string

The statistic to return. It can include any CloudWatch statistic or extended statistic. For a list of valid values, see the table in Statistics in the Amazon CloudWatch User Guide .

The most commonly used metric for scaling is Average .

Unit string

The unit to use for the returned data points. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference .

Metric ScalingPolicyMetric

The metric to use.

Stat string

The statistic to return. It can include any CloudWatch statistic or extended statistic. For a list of valid values, see the table in Statistics in the Amazon CloudWatch User Guide .

The most commonly used metric for scaling is Average .

Unit string

The unit to use for the returned data points. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference .

metric ScalingPolicyMetric

The metric to use.

stat String

The statistic to return. It can include any CloudWatch statistic or extended statistic. For a list of valid values, see the table in Statistics in the Amazon CloudWatch User Guide .

The most commonly used metric for scaling is Average .

unit String

The unit to use for the returned data points. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference .

metric ScalingPolicyMetric

The metric to use.

stat string

The statistic to return. It can include any CloudWatch statistic or extended statistic. For a list of valid values, see the table in Statistics in the Amazon CloudWatch User Guide .

The most commonly used metric for scaling is Average .

unit string

The unit to use for the returned data points. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference .

metric ScalingPolicyMetric

The metric to use.

stat str

The statistic to return. It can include any CloudWatch statistic or extended statistic. For a list of valid values, see the table in Statistics in the Amazon CloudWatch User Guide .

The most commonly used metric for scaling is Average .

unit str

The unit to use for the returned data points. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference .

metric Property Map

The metric to use.

stat String

The statistic to return. It can include any CloudWatch statistic or extended statistic. For a list of valid values, see the table in Statistics in the Amazon CloudWatch User Guide .

The most commonly used metric for scaling is Average .

unit String

The unit to use for the returned data points. For a complete list of the units that CloudWatch supports, see the MetricDatum data type in the Amazon CloudWatch API Reference .

Package Details

Repository: AWS Native pulumi/pulumi-aws-native
License: Apache-2.0

We recommend new projects start with resources from the AWS provider.

AWS Cloud Control v1.9.0 published on Monday, Nov 18, 2024 by Pulumi

pulumi/pulumi-aws-native

aws-native.autoscaling.ScalingPolicy

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Create ScalingPolicy Resource

Constructor syntax

Parameters

ScalingPolicy Resource Properties

Inputs

Outputs

Supporting Types

ScalingPolicyCustomizedMetricSpecification, ScalingPolicyCustomizedMetricSpecificationArgs

ScalingPolicyMetric, ScalingPolicyMetricArgs

ScalingPolicyMetricDataQuery, ScalingPolicyMetricDataQueryArgs

ScalingPolicyMetricDimension, ScalingPolicyMetricDimensionArgs

ScalingPolicyMetricStat, ScalingPolicyMetricStatArgs

ScalingPolicyPredefinedMetricSpecification, ScalingPolicyPredefinedMetricSpecificationArgs

ScalingPolicyPredictiveScalingConfiguration, ScalingPolicyPredictiveScalingConfigurationArgs

ScalingPolicyPredictiveScalingCustomizedCapacityMetric, ScalingPolicyPredictiveScalingCustomizedCapacityMetricArgs

ScalingPolicyPredictiveScalingCustomizedLoadMetric, ScalingPolicyPredictiveScalingCustomizedLoadMetricArgs

ScalingPolicyPredictiveScalingCustomizedScalingMetric, ScalingPolicyPredictiveScalingCustomizedScalingMetricArgs

ScalingPolicyPredictiveScalingMetricSpecification, ScalingPolicyPredictiveScalingMetricSpecificationArgs

ScalingPolicyPredictiveScalingPredefinedLoadMetric, ScalingPolicyPredictiveScalingPredefinedLoadMetricArgs

ScalingPolicyPredictiveScalingPredefinedMetricPair, ScalingPolicyPredictiveScalingPredefinedMetricPairArgs

ScalingPolicyPredictiveScalingPredefinedScalingMetric, ScalingPolicyPredictiveScalingPredefinedScalingMetricArgs

ScalingPolicyStepAdjustment, ScalingPolicyStepAdjustmentArgs

ScalingPolicyTargetTrackingConfiguration, ScalingPolicyTargetTrackingConfigurationArgs

ScalingPolicyTargetTrackingMetricDataQuery, ScalingPolicyTargetTrackingMetricDataQueryArgs

ScalingPolicyTargetTrackingMetricStat, ScalingPolicyTargetTrackingMetricStatArgs

Package Details

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