CfnScalingPlanPropsMixin

class aws_cdk.mixins_preview.aws_autoscalingplans.mixins.CfnScalingPlanPropsMixin(props, *, strategy=None)

Bases: Mixin

The AWS::AutoScalingPlans::ScalingPlan resource defines an AWS Auto Scaling scaling plan.

A scaling plan is used to scale application resources to size them appropriately to ensure that enough resource is available in the application at peak times and to reduce allocated resource during periods of low utilization. The following resources can be added to a scaling plan:

Amazon EC2 Auto Scaling groups
Amazon EC2 Spot Fleet requests
Amazon ECS services
Amazon DynamoDB tables and global secondary indexes
Amazon Aurora Replicas

For more information, see the Scaling Plans User Guide

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-autoscalingplans-scalingplan.html
CloudformationResource:: AWS::AutoScalingPlans::ScalingPlan
Mixin:: true
ExampleMetadata:: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview import mixins
from aws_cdk.mixins_preview.aws_autoscalingplans import mixins as autoscalingplans_mixins

cfn_scaling_plan_props_mixin = autoscalingplans_mixins.CfnScalingPlanPropsMixin(autoscalingplans_mixins.CfnScalingPlanMixinProps(
    application_source=autoscalingplans_mixins.CfnScalingPlanPropsMixin.ApplicationSourceProperty(
        cloud_formation_stack_arn="cloudFormationStackArn",
        tag_filters=[autoscalingplans_mixins.CfnScalingPlanPropsMixin.TagFilterProperty(
            key="key",
            values=["values"]
        )]
    ),
    scaling_instructions=[autoscalingplans_mixins.CfnScalingPlanPropsMixin.ScalingInstructionProperty(
        customized_load_metric_specification=autoscalingplans_mixins.CfnScalingPlanPropsMixin.CustomizedLoadMetricSpecificationProperty(
            dimensions=[autoscalingplans_mixins.CfnScalingPlanPropsMixin.MetricDimensionProperty(
                name="name",
                value="value"
            )],
            metric_name="metricName",
            namespace="namespace",
            statistic="statistic",
            unit="unit"
        ),
        disable_dynamic_scaling=False,
        max_capacity=123,
        min_capacity=123,
        predefined_load_metric_specification=autoscalingplans_mixins.CfnScalingPlanPropsMixin.PredefinedLoadMetricSpecificationProperty(
            predefined_load_metric_type="predefinedLoadMetricType",
            resource_label="resourceLabel"
        ),
        predictive_scaling_max_capacity_behavior="predictiveScalingMaxCapacityBehavior",
        predictive_scaling_max_capacity_buffer=123,
        predictive_scaling_mode="predictiveScalingMode",
        resource_id="resourceId",
        scalable_dimension="scalableDimension",
        scaling_policy_update_behavior="scalingPolicyUpdateBehavior",
        scheduled_action_buffer_time=123,
        service_namespace="serviceNamespace",
        target_tracking_configurations=[autoscalingplans_mixins.CfnScalingPlanPropsMixin.TargetTrackingConfigurationProperty(
            customized_scaling_metric_specification=autoscalingplans_mixins.CfnScalingPlanPropsMixin.CustomizedScalingMetricSpecificationProperty(
                dimensions=[autoscalingplans_mixins.CfnScalingPlanPropsMixin.MetricDimensionProperty(
                    name="name",
                    value="value"
                )],
                metric_name="metricName",
                namespace="namespace",
                statistic="statistic",
                unit="unit"
            ),
            disable_scale_in=False,
            estimated_instance_warmup=123,
            predefined_scaling_metric_specification=autoscalingplans_mixins.CfnScalingPlanPropsMixin.PredefinedScalingMetricSpecificationProperty(
                predefined_scaling_metric_type="predefinedScalingMetricType",
                resource_label="resourceLabel"
            ),
            scale_in_cooldown=123,
            scale_out_cooldown=123,
            target_value=123
        )]
    )]
),
    strategy=mixins.PropertyMergeStrategy.OVERRIDE
)

Create a mixin to apply properties to AWS::AutoScalingPlans::ScalingPlan.

Parameters:

props (Union[CfnScalingPlanMixinProps, Dict[str, Any]]) – L1 properties to apply.
strategy (Optional[PropertyMergeStrategy]) – (experimental) Strategy for merging nested properties. Default: - PropertyMergeStrategy.MERGE

Methods

apply_to(construct)

Apply the mixin properties to the construct.

Parameters:: construct (IConstruct)
Return type:: IConstruct

supports(construct)

Check if this mixin supports the given construct.

Parameters:: construct (IConstruct)
Return type:: bool

Attributes

CFN_PROPERTY_KEYS = ['applicationSource', 'scalingInstructions']

Static Methods

classmethod is_mixin(x)

(experimental) Checks if x is a Mixin.

Parameters:: x (Any) – Any object.
Return type:: bool
Returns:: true if x is an object created from a class which extends Mixin.
Stability:: experimental

ApplicationSourceProperty

class CfnScalingPlanPropsMixin.ApplicationSourceProperty(*, cloud_formation_stack_arn=None, tag_filters=None)

Bases: object

ApplicationSource is a property of ScalingPlan that specifies the application source to use with a scaling plan. You can create one scaling plan per application source.

Parameters:

cloud_formation_stack_arn (Optional[str]) – The Amazon Resource Name (ARN) of a CloudFormation stack. You must specify either a CloudFormationStackARN or TagFilters .
tag_filters (Union[IResolvable, Sequence[Union[IResolvable, TagFilterProperty, Dict[str, Any]]], None]) – A set of tag filters (keys and values). Each tag filter specified must contain a key with values as optional. Each scaling plan can include up to 50 keys, and each key can include up to 20 values. Tags are part of the syntax that you use to specify the resources you want returned when configuring a scaling plan from the AWS Auto Scaling console. You do not need to specify valid tag filter values when you create a scaling plan with CloudFormation. The Key and Values properties can accept any value as long as the combination of values is unique across scaling plans. However, if you also want to use the AWS Auto Scaling console to edit the scaling plan, then you must specify valid values. You must specify either a CloudFormationStackARN or TagFilters .

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-applicationsource.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_autoscalingplans import mixins as autoscalingplans_mixins

application_source_property = autoscalingplans_mixins.CfnScalingPlanPropsMixin.ApplicationSourceProperty(
    cloud_formation_stack_arn="cloudFormationStackArn",
    tag_filters=[autoscalingplans_mixins.CfnScalingPlanPropsMixin.TagFilterProperty(
        key="key",
        values=["values"]
    )]
)

Attributes

cloud_formation_stack_arn

The Amazon Resource Name (ARN) of a CloudFormation stack.

You must specify either a CloudFormationStackARN or TagFilters .

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-applicationsource.html#cfn-autoscalingplans-scalingplan-applicationsource-cloudformationstackarn

tag_filters

A set of tag filters (keys and values).

Each tag filter specified must contain a key with values as optional. Each scaling plan can include up to 50 keys, and each key can include up to 20 values.

Tags are part of the syntax that you use to specify the resources you want returned when configuring a scaling plan from the AWS Auto Scaling console. You do not need to specify valid tag filter values when you create a scaling plan with CloudFormation. The Key and Values properties can accept any value as long as the combination of values is unique across scaling plans. However, if you also want to use the AWS Auto Scaling console to edit the scaling plan, then you must specify valid values.

You must specify either a CloudFormationStackARN or TagFilters .

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-applicationsource.html#cfn-autoscalingplans-scalingplan-applicationsource-tagfilters

CustomizedLoadMetricSpecificationProperty

class CfnScalingPlanPropsMixin.CustomizedLoadMetricSpecificationProperty(*, dimensions=None, metric_name=None, namespace=None, statistic=None, unit=None)

Bases: object

CustomizedLoadMetricSpecification is a subproperty of ScalingInstruction that specifies a customized load metric for predictive scaling to use with a scaling plan.

For predictive scaling to work with a customized load metric specification, AWS Auto Scaling needs access to the Sum and Average statistics that CloudWatch computes from metric data.

When you choose a load metric, make sure that the required Sum and Average statistics for your metric are available in CloudWatch and that they provide relevant data for predictive scaling. The Sum statistic must represent the total load on the resource, and the Average statistic must represent the average load per capacity unit of the resource. For example, there is a metric that counts the number of requests processed by your Auto Scaling group. If the Sum statistic represents the total request count processed by the group, then the Average statistic for the specified metric must represent the average request count processed by each instance of the group.

If you publish your own metrics, you can aggregate the data points at a given interval and then publish the aggregated data points to CloudWatch. Before AWS Auto Scaling generates the forecast, it sums up all the metric data points that occurred within each hour to match the granularity period that is used in the forecast (60 minutes).

For information about terminology, available metrics, or how to publish new metrics, see Amazon CloudWatch Concepts in the Amazon CloudWatch User Guide .

After creating your scaling plan, you can use the AWS Auto Scaling console to visualize forecasts for the specified metric. For more information, see View scaling information for a resource in the Scaling Plans User Guide .

Parameters:

dimensions (Union[IResolvable, Sequence[Union[IResolvable, MetricDimensionProperty, Dict[str, Any]]], None]) – The dimensions of the metric. Conditional: If you published your metric with dimensions, you must specify the same dimensions in your customized load metric specification.
metric_name (Optional[str]) – The name of the metric.
namespace (Optional[str]) – The namespace of the metric.
statistic (Optional[str]) – The statistic of the metric. Allowed Values : Sum
unit (Optional[str]) – The unit of the metric.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-customizedloadmetricspecification.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_autoscalingplans import mixins as autoscalingplans_mixins

customized_load_metric_specification_property = autoscalingplans_mixins.CfnScalingPlanPropsMixin.CustomizedLoadMetricSpecificationProperty(
    dimensions=[autoscalingplans_mixins.CfnScalingPlanPropsMixin.MetricDimensionProperty(
        name="name",
        value="value"
    )],
    metric_name="metricName",
    namespace="namespace",
    statistic="statistic",
    unit="unit"
)

Attributes

dimensions

The dimensions of the metric.

Conditional: If you published your metric with dimensions, you must specify the same dimensions in your customized load metric specification.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-customizedloadmetricspecification.html#cfn-autoscalingplans-scalingplan-customizedloadmetricspecification-dimensions

metric_name

The name of the metric.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-customizedloadmetricspecification.html#cfn-autoscalingplans-scalingplan-customizedloadmetricspecification-metricname

namespace

The namespace of the metric.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-customizedloadmetricspecification.html#cfn-autoscalingplans-scalingplan-customizedloadmetricspecification-namespace

statistic

The statistic of the metric.

Allowed Values : Sum

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-customizedloadmetricspecification.html#cfn-autoscalingplans-scalingplan-customizedloadmetricspecification-statistic

unit

The unit of the metric.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-customizedloadmetricspecification.html#cfn-autoscalingplans-scalingplan-customizedloadmetricspecification-unit

CustomizedScalingMetricSpecificationProperty

class CfnScalingPlanPropsMixin.CustomizedScalingMetricSpecificationProperty(*, dimensions=None, metric_name=None, namespace=None, statistic=None, unit=None)

Bases: object

CustomizedScalingMetricSpecification is a subproperty of TargetTrackingConfiguration that specifies a customized scaling metric for a target tracking configuration to use with a scaling plan.

To create your customized scaling metric specification:

Add values for each required property from CloudWatch. You can use an existing metric, or a new metric that you create. To use your own metric, you must first publish the metric to CloudWatch. For more information, see Publish Custom Metrics in the Amazon CloudWatch User Guide .
Choose a metric that changes proportionally with capacity. The value of the metric should increase or decrease in inverse proportion to the number of capacity units. That is, the value of the metric should decrease when capacity increases.

For information about terminology, available metrics, or how to publish new metrics, see Amazon CloudWatch Concepts in the Amazon CloudWatch User Guide .

Parameters:

dimensions (Union[IResolvable, Sequence[Union[IResolvable, MetricDimensionProperty, Dict[str, Any]]], None]) – 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 (Optional[str]) – The name of the metric. To get the exact metric name, namespace, and dimensions, inspect the Metrics object that is returned by a call to ListMetrics .
namespace (Optional[str]) – The namespace of the metric.
statistic (Optional[str]) – The statistic of the metric.
unit (Optional[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 .

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-customizedscalingmetricspecification.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_autoscalingplans import mixins as autoscalingplans_mixins

customized_scaling_metric_specification_property = autoscalingplans_mixins.CfnScalingPlanPropsMixin.CustomizedScalingMetricSpecificationProperty(
    dimensions=[autoscalingplans_mixins.CfnScalingPlanPropsMixin.MetricDimensionProperty(
        name="name",
        value="value"
    )],
    metric_name="metricName",
    namespace="namespace",
    statistic="statistic",
    unit="unit"
)

Attributes

dimensions

The dimensions of the metric.

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

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-customizedscalingmetricspecification.html#cfn-autoscalingplans-scalingplan-customizedscalingmetricspecification-dimensions

metric_name

The name of the metric.

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

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-customizedscalingmetricspecification.html#cfn-autoscalingplans-scalingplan-customizedscalingmetricspecification-metricname

namespace

The namespace of the metric.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-customizedscalingmetricspecification.html#cfn-autoscalingplans-scalingplan-customizedscalingmetricspecification-namespace

statistic

The statistic of the metric.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-customizedscalingmetricspecification.html#cfn-autoscalingplans-scalingplan-customizedscalingmetricspecification-statistic

unit

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 .

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-customizedscalingmetricspecification.html#cfn-autoscalingplans-scalingplan-customizedscalingmetricspecification-unit

MetricDimensionProperty

class CfnScalingPlanPropsMixin.MetricDimensionProperty(*, name=None, value=None)

Bases: object

MetricDimension is a subproperty of CustomizedScalingMetricSpecification that specifies a dimension for a customized metric to use with a scaling plan. Dimensions are arbitrary name/value pairs that can be associated with a CloudWatch metric. Duplicate dimensions are not allowed.

Parameters:

name (Optional[str]) – The name of the dimension.
value (Optional[str]) – The value of the dimension.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-metricdimension.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_autoscalingplans import mixins as autoscalingplans_mixins

metric_dimension_property = autoscalingplans_mixins.CfnScalingPlanPropsMixin.MetricDimensionProperty(
    name="name",
    value="value"
)

Attributes

name

The name of the dimension.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-metricdimension.html#cfn-autoscalingplans-scalingplan-metricdimension-name

value

The value of the dimension.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-metricdimension.html#cfn-autoscalingplans-scalingplan-metricdimension-value

PredefinedLoadMetricSpecificationProperty

class CfnScalingPlanPropsMixin.PredefinedLoadMetricSpecificationProperty(*, predefined_load_metric_type=None, resource_label=None)

Bases: object

PredefinedLoadMetricSpecification is a subproperty of ScalingInstruction that specifies a predefined load metric for predictive scaling to use with a scaling plan.

After creating your scaling plan, you can use the AWS Auto Scaling console to visualize forecasts for the specified metric. For more information, see View scaling information for a resource in the Scaling Plans User Guide .

Parameters:

predefined_load_metric_type (Optional[str]) – The metric type.
resource_label (Optional[str]) – Identifies the resource associated with the metric type. You can’t specify a resource label unless the metric type is ALBTargetGroupRequestCount and there is a target group for an Application Load Balancer 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 is app///targetgroup//, where: - app// is the final portion of the load balancer ARN - targetgroup// is the final portion of the target group ARN. This is an example: app/EC2Co-EcsEl-1TKLTMITMM0EO/f37c06a68c1748aa/targetgroup/EC2Co-Defau-LDNM7Q3ZH1ZN/6d4ea56ca2d6a18d. 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.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-predefinedloadmetricspecification.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_autoscalingplans import mixins as autoscalingplans_mixins

predefined_load_metric_specification_property = autoscalingplans_mixins.CfnScalingPlanPropsMixin.PredefinedLoadMetricSpecificationProperty(
    predefined_load_metric_type="predefinedLoadMetricType",
    resource_label="resourceLabel"
)

Attributes

predefined_load_metric_type

The metric type.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-predefinedloadmetricspecification.html#cfn-autoscalingplans-scalingplan-predefinedloadmetricspecification-predefinedloadmetrictype

resource_label

Identifies the resource associated with the metric type.

You can’t specify a resource label unless the metric type is ALBTargetGroupRequestCount and there is a target group for an Application Load Balancer 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 is app///targetgroup//, where:

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

This is an example: app/EC2Co-EcsEl-1TKLTMITMM0EO/f37c06a68c1748aa/targetgroup/EC2Co-Defau-LDNM7Q3ZH1ZN/6d4ea56ca2d6a18d.

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.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-predefinedloadmetricspecification.html#cfn-autoscalingplans-scalingplan-predefinedloadmetricspecification-resourcelabel

PredefinedScalingMetricSpecificationProperty

class CfnScalingPlanPropsMixin.PredefinedScalingMetricSpecificationProperty(*, predefined_scaling_metric_type=None, resource_label=None)

Bases: object

PredefinedScalingMetricSpecification is a subproperty of TargetTrackingConfiguration that specifies a customized scaling metric for a target tracking configuration to use with a scaling plan.

Parameters:

predefined_scaling_metric_type (Optional[str]) – The metric type. The ALBRequestCountPerTarget metric type applies only to Auto Scaling groups, Spot Fleet requests, and ECS services.
resource_label (Optional[str]) –
Identifies the resource associated with the metric type. You can’t specify a resource label unless the metric type is ALBRequestCountPerTarget and there is a target group for an Application Load Balancer attached to the Auto Scaling group, Spot Fleet request, or ECS service. 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 is app///targetgroup//, where: - app// is the final portion of the load balancer ARN - targetgroup// is the final portion of the target group ARN. This is an example: app/EC2Co-EcsEl-1TKLTMITMM0EO/f37c06a68c1748aa/targetgroup/EC2Co-Defau-LDNM7Q3ZH1ZN/6d4ea56ca2d6a18d. 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.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-predefinedscalingmetricspecification.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_autoscalingplans import mixins as autoscalingplans_mixins

predefined_scaling_metric_specification_property = autoscalingplans_mixins.CfnScalingPlanPropsMixin.PredefinedScalingMetricSpecificationProperty(
    predefined_scaling_metric_type="predefinedScalingMetricType",
    resource_label="resourceLabel"
)

Attributes

predefined_scaling_metric_type

The metric type.

The ALBRequestCountPerTarget metric type applies only to Auto Scaling groups, Spot Fleet requests, and ECS services.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-predefinedscalingmetricspecification.html#cfn-autoscalingplans-scalingplan-predefinedscalingmetricspecification-predefinedscalingmetrictype

resource_label

Identifies the resource associated with the metric type.

You can’t specify a resource label unless the metric type is ALBRequestCountPerTarget and there is a target group for an Application Load Balancer attached to the Auto Scaling group, Spot Fleet request, or ECS service.

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 is app///targetgroup//, where:

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

This is an example: app/EC2Co-EcsEl-1TKLTMITMM0EO/f37c06a68c1748aa/targetgroup/EC2Co-Defau-LDNM7Q3ZH1ZN/6d4ea56ca2d6a18d.

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.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-predefinedscalingmetricspecification.html#cfn-autoscalingplans-scalingplan-predefinedscalingmetricspecification-resourcelabel

ScalingInstructionProperty

class CfnScalingPlanPropsMixin.ScalingInstructionProperty(*, customized_load_metric_specification=None, disable_dynamic_scaling=None, max_capacity=None, min_capacity=None, predefined_load_metric_specification=None, predictive_scaling_max_capacity_behavior=None, predictive_scaling_max_capacity_buffer=None, predictive_scaling_mode=None, resource_id=None, scalable_dimension=None, scaling_policy_update_behavior=None, scheduled_action_buffer_time=None, service_namespace=None, target_tracking_configurations=None)

Bases: object

ScalingInstruction is a property of ScalingPlan that specifies the scaling instruction for a scalable resource in a scaling plan. Each scaling instruction applies to one resource.

AWS Auto Scaling creates target tracking scaling policies based on the scaling instructions. Target tracking scaling policies adjust the capacity of your scalable resource as required to maintain resource utilization at the target value that you specified.

AWS Auto Scaling also configures predictive scaling for your Amazon EC2 Auto Scaling groups using a subset of properties, including the load metric, the scaling metric, the target value for the scaling metric, the predictive scaling mode (forecast and scale or forecast only), and the desired behavior when the forecast capacity exceeds the maximum capacity of the resource. With predictive scaling, AWS Auto Scaling generates forecasts with traffic predictions for the two days ahead and schedules scaling actions that proactively add and remove resource capacity to match the forecast. .. epigraph:

We recommend waiting a minimum of 24 hours after creating an Auto Scaling group to configure predictive scaling. At minimum, there must be 24 hours of historical data to generate a forecast. For more information, see `Best practices for scaling plans <https://docs.aws.amazon.com/autoscaling/plans/userguide/gs-best-practices.html>`_ in the *Scaling Plans User Guide* .

Parameters:

customized_load_metric_specification (Union[IResolvable, CustomizedLoadMetricSpecificationProperty, Dict[str, Any], None]) – The customized load metric to use for predictive scaling. This property or a PredefinedLoadMetricSpecification is required when configuring predictive scaling, and cannot be used otherwise.
disable_dynamic_scaling (Union[bool, IResolvable, None]) – Controls whether dynamic scaling is disabled. When dynamic scaling is enabled, AWS Auto Scaling creates target tracking scaling policies based on the specified target tracking configurations. The default is enabled ( false ).
max_capacity (Union[int, float, None]) – The maximum capacity of the resource. The exception to this upper limit is if you specify a non-default setting for PredictiveScalingMaxCapacityBehavior .
min_capacity (Union[int, float, None]) – The minimum capacity of the resource.
predefined_load_metric_specification (Union[IResolvable, PredefinedLoadMetricSpecificationProperty, Dict[str, Any], None]) – The predefined load metric to use for predictive scaling. This property or a CustomizedLoadMetricSpecification is required when configuring predictive scaling, and cannot be used otherwise.
predictive_scaling_max_capacity_behavior (Optional[str]) – Defines the behavior that should be applied if the forecast capacity approaches or exceeds the maximum capacity specified for the resource. The default value is SetForecastCapacityToMaxCapacity . The following are possible values: - SetForecastCapacityToMaxCapacity - AWS Auto Scaling cannot scale resource capacity higher than the maximum capacity. The maximum capacity is enforced as a hard limit. - SetMaxCapacityToForecastCapacity - AWS Auto Scaling can scale resource capacity higher than the maximum capacity to equal but not exceed forecast capacity. - SetMaxCapacityAboveForecastCapacity - AWS Auto Scaling can scale resource capacity higher than the maximum capacity by a specified buffer value. The intention is to give the target tracking scaling policy extra capacity if unexpected traffic occurs. Valid only when configuring predictive scaling.
predictive_scaling_max_capacity_buffer (Union[int, float, None]) – 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. With a 10 percent buffer, if the forecast capacity is 50, and the maximum capacity is 40, then the effective maximum capacity is 55. Valid only when configuring predictive scaling. Required if PredictiveScalingMaxCapacityBehavior is set to SetMaxCapacityAboveForecastCapacity , and cannot be used otherwise. The range is 1-100.
predictive_scaling_mode (Optional[str]) – The predictive scaling mode. The default value is ForecastAndScale . Otherwise, AWS Auto Scaling forecasts capacity but does not apply any scheduled scaling actions based on the capacity forecast.
resource_id (Optional[str]) – The ID of the resource. This string consists of the resource type and unique identifier. - Auto Scaling group - The resource type is autoScalingGroup and the unique identifier is the name of the Auto Scaling group. Example: autoScalingGroup/my-asg . - ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp . - Spot Fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE . - DynamoDB table - The resource type is table and the unique identifier is the resource ID. Example: table/my-table . - DynamoDB global secondary index - The resource type is index and the unique identifier is the resource ID. Example: table/my-table/index/my-table-index . - Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster .
scalable_dimension (Optional[str]) – The scalable dimension associated with the resource. - autoscaling:autoScalingGroup:DesiredCapacity - The desired capacity of an Auto Scaling group. - ecs:service:DesiredCount - The desired task count of an ECS service. - ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet request. - dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. - dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. - dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. - dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. - rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
scaling_policy_update_behavior (Optional[str]) – Controls whether a resource’s externally created scaling policies are deleted and new target tracking scaling policies created. The default value is KeepExternalPolicies . Valid only when configuring dynamic scaling.
scheduled_action_buffer_time (Union[int, float, None]) – The amount of time, in seconds, to buffer the run time of scheduled scaling actions when scaling out. For example, if the forecast says to add capacity at 10:00 AM, and the buffer time is 5 minutes, then the run time of the corresponding scheduled scaling action will be 9:55 AM. The intention is to give resources time to be provisioned. For example, 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). The default is 300 seconds. Valid only when configuring predictive scaling.
service_namespace (Optional[str]) – The namespace of the AWS service.
target_tracking_configurations (Union[IResolvable, Sequence[Union[IResolvable, TargetTrackingConfigurationProperty, Dict[str, Any]]], None]) – The target tracking configurations (up to 10). Each of these structures must specify a unique scaling metric and a target value for the metric.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-scalinginstruction.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_autoscalingplans import mixins as autoscalingplans_mixins

scaling_instruction_property = autoscalingplans_mixins.CfnScalingPlanPropsMixin.ScalingInstructionProperty(
    customized_load_metric_specification=autoscalingplans_mixins.CfnScalingPlanPropsMixin.CustomizedLoadMetricSpecificationProperty(
        dimensions=[autoscalingplans_mixins.CfnScalingPlanPropsMixin.MetricDimensionProperty(
            name="name",
            value="value"
        )],
        metric_name="metricName",
        namespace="namespace",
        statistic="statistic",
        unit="unit"
    ),
    disable_dynamic_scaling=False,
    max_capacity=123,
    min_capacity=123,
    predefined_load_metric_specification=autoscalingplans_mixins.CfnScalingPlanPropsMixin.PredefinedLoadMetricSpecificationProperty(
        predefined_load_metric_type="predefinedLoadMetricType",
        resource_label="resourceLabel"
    ),
    predictive_scaling_max_capacity_behavior="predictiveScalingMaxCapacityBehavior",
    predictive_scaling_max_capacity_buffer=123,
    predictive_scaling_mode="predictiveScalingMode",
    resource_id="resourceId",
    scalable_dimension="scalableDimension",
    scaling_policy_update_behavior="scalingPolicyUpdateBehavior",
    scheduled_action_buffer_time=123,
    service_namespace="serviceNamespace",
    target_tracking_configurations=[autoscalingplans_mixins.CfnScalingPlanPropsMixin.TargetTrackingConfigurationProperty(
        customized_scaling_metric_specification=autoscalingplans_mixins.CfnScalingPlanPropsMixin.CustomizedScalingMetricSpecificationProperty(
            dimensions=[autoscalingplans_mixins.CfnScalingPlanPropsMixin.MetricDimensionProperty(
                name="name",
                value="value"
            )],
            metric_name="metricName",
            namespace="namespace",
            statistic="statistic",
            unit="unit"
        ),
        disable_scale_in=False,
        estimated_instance_warmup=123,
        predefined_scaling_metric_specification=autoscalingplans_mixins.CfnScalingPlanPropsMixin.PredefinedScalingMetricSpecificationProperty(
            predefined_scaling_metric_type="predefinedScalingMetricType",
            resource_label="resourceLabel"
        ),
        scale_in_cooldown=123,
        scale_out_cooldown=123,
        target_value=123
    )]
)

Attributes

customized_load_metric_specification

The customized load metric to use for predictive scaling.

This property or a PredefinedLoadMetricSpecification is required when configuring predictive scaling, and cannot be used otherwise.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-scalinginstruction.html#cfn-autoscalingplans-scalingplan-scalinginstruction-customizedloadmetricspecification

disable_dynamic_scaling

Controls whether dynamic scaling is disabled.

When dynamic scaling is enabled, AWS Auto Scaling creates target tracking scaling policies based on the specified target tracking configurations.

The default is enabled ( false ).

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-scalinginstruction.html#cfn-autoscalingplans-scalingplan-scalinginstruction-disabledynamicscaling

max_capacity

The maximum capacity of the resource.

The exception to this upper limit is if you specify a non-default setting for PredictiveScalingMaxCapacityBehavior .

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-scalinginstruction.html#cfn-autoscalingplans-scalingplan-scalinginstruction-maxcapacity

min_capacity

The minimum capacity of the resource.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-scalinginstruction.html#cfn-autoscalingplans-scalingplan-scalinginstruction-mincapacity

predefined_load_metric_specification

The predefined load metric to use for predictive scaling.

This property or a CustomizedLoadMetricSpecification is required when configuring predictive scaling, and cannot be used otherwise.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-scalinginstruction.html#cfn-autoscalingplans-scalingplan-scalinginstruction-predefinedloadmetricspecification

predictive_scaling_max_capacity_behavior

Defines the behavior that should be applied if the forecast capacity approaches or exceeds the maximum capacity specified for the resource.

The default value is SetForecastCapacityToMaxCapacity .

The following are possible values:

SetForecastCapacityToMaxCapacity - AWS Auto Scaling cannot scale resource capacity higher than the maximum capacity. The maximum capacity is enforced as a hard limit.
SetMaxCapacityToForecastCapacity - AWS Auto Scaling can scale resource capacity higher than the maximum capacity to equal but not exceed forecast capacity.
SetMaxCapacityAboveForecastCapacity - AWS Auto Scaling can scale resource capacity higher than the maximum capacity by a specified buffer value. The intention is to give the target tracking scaling policy extra capacity if unexpected traffic occurs.

Valid only when configuring predictive scaling.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-scalinginstruction.html#cfn-autoscalingplans-scalingplan-scalinginstruction-predictivescalingmaxcapacitybehavior

predictive_scaling_max_capacity_buffer

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. With a 10 percent buffer, if the forecast capacity is 50, and the maximum capacity is 40, then the effective maximum capacity is 55.

Valid only when configuring predictive scaling. Required if PredictiveScalingMaxCapacityBehavior is set to SetMaxCapacityAboveForecastCapacity , and cannot be used otherwise.

The range is 1-100.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-scalinginstruction.html#cfn-autoscalingplans-scalingplan-scalinginstruction-predictivescalingmaxcapacitybuffer

predictive_scaling_mode

The predictive scaling mode.

The default value is ForecastAndScale . Otherwise, AWS Auto Scaling forecasts capacity but does not apply any scheduled scaling actions based on the capacity forecast.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-scalinginstruction.html#cfn-autoscalingplans-scalingplan-scalinginstruction-predictivescalingmode

resource_id

The ID of the resource. This string consists of the resource type and unique identifier.

Auto Scaling group - The resource type is autoScalingGroup and the unique identifier is the name of the Auto Scaling group. Example: autoScalingGroup/my-asg .
ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp .
Spot Fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE .
DynamoDB table - The resource type is table and the unique identifier is the resource ID. Example: table/my-table .
DynamoDB global secondary index - The resource type is index and the unique identifier is the resource ID. Example: table/my-table/index/my-table-index .
Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster .

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-scalinginstruction.html#cfn-autoscalingplans-scalingplan-scalinginstruction-resourceid

scalable_dimension

The scalable dimension associated with the resource.

autoscaling:autoScalingGroup:DesiredCapacity - The desired capacity of an Auto Scaling group.
ecs:service:DesiredCount - The desired task count of an ECS service.
ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet request.
dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table.
dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table.
dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index.
dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index.
rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-scalinginstruction.html#cfn-autoscalingplans-scalingplan-scalinginstruction-scalabledimension

scaling_policy_update_behavior

Controls whether a resource’s externally created scaling policies are deleted and new target tracking scaling policies created.

The default value is KeepExternalPolicies .

Valid only when configuring dynamic scaling.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-scalinginstruction.html#cfn-autoscalingplans-scalingplan-scalinginstruction-scalingpolicyupdatebehavior

scheduled_action_buffer_time

The amount of time, in seconds, to buffer the run time of scheduled scaling actions when scaling out.

For example, if the forecast says to add capacity at 10:00 AM, and the buffer time is 5 minutes, then the run time of the corresponding scheduled scaling action will be 9:55 AM. The intention is to give resources time to be provisioned. For example, 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). The default is 300 seconds.

Valid only when configuring predictive scaling.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-scalinginstruction.html#cfn-autoscalingplans-scalingplan-scalinginstruction-scheduledactionbuffertime

service_namespace

The namespace of the AWS service.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-scalinginstruction.html#cfn-autoscalingplans-scalingplan-scalinginstruction-servicenamespace

target_tracking_configurations

The target tracking configurations (up to 10).

Each of these structures must specify a unique scaling metric and a target value for the metric.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-scalinginstruction.html#cfn-autoscalingplans-scalingplan-scalinginstruction-targettrackingconfigurations

TagFilterProperty

class CfnScalingPlanPropsMixin.TagFilterProperty(*, key=None, values=None)

Bases: object

TagFilter is a subproperty of ApplicationSource that specifies a tag for an application source to use with a scaling plan.

Parameters:

key (Optional[str]) – The tag key.
values (Optional[Sequence[str]]) – The tag values (0 to 20).

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-tagfilter.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_autoscalingplans import mixins as autoscalingplans_mixins

tag_filter_property = autoscalingplans_mixins.CfnScalingPlanPropsMixin.TagFilterProperty(
    key="key",
    values=["values"]
)

Attributes

key

The tag key.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-tagfilter.html#cfn-autoscalingplans-scalingplan-tagfilter-key

values

The tag values (0 to 20).

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-tagfilter.html#cfn-autoscalingplans-scalingplan-tagfilter-values

TargetTrackingConfigurationProperty

class CfnScalingPlanPropsMixin.TargetTrackingConfigurationProperty(*, customized_scaling_metric_specification=None, disable_scale_in=None, estimated_instance_warmup=None, predefined_scaling_metric_specification=None, scale_in_cooldown=None, scale_out_cooldown=None, target_value=None)

Bases: object

TargetTrackingConfiguration is a subproperty of ScalingInstruction that specifies a target tracking configuration for a scalable resource.

Parameters:

customized_scaling_metric_specification (Union[IResolvable, CustomizedScalingMetricSpecificationProperty, Dict[str, Any], None]) – A customized metric. You can specify either a predefined metric or a customized metric.
disable_scale_in (Union[bool, IResolvable, None]) – Indicates whether scale in by the target tracking scaling policy is disabled. If the value is true , scale in is disabled and the target tracking scaling policy doesn’t remove capacity from the scalable resource. Otherwise, scale in is enabled and the target tracking scaling policy can remove capacity from the scalable resource. The default value is false .
estimated_instance_warmup (Union[int, float, None]) – The estimated time, in seconds, until a newly launched instance can contribute to the CloudWatch metrics. This value is used only if the resource is an Auto Scaling group.
predefined_scaling_metric_specification (Union[IResolvable, PredefinedScalingMetricSpecificationProperty, Dict[str, Any], None]) – A predefined metric. You can specify either a predefined metric or a customized metric.
scale_in_cooldown (Union[int, float, None]) – The amount of time, in seconds, after a scale-in activity completes before another scale in activity can start. This value is not used if the scalable resource is an Auto Scaling group.
scale_out_cooldown (Union[int, float, None]) – The amount of time, in seconds, after a scale-out activity completes before another scale-out activity can start. This value is not used if the scalable resource is an Auto Scaling group.
target_value (Union[int, float, None]) – The target value for the metric. Although this property accepts numbers of type Double, it won’t accept values that are either too small or too large. Values must be in the range of -2^360 to 2^360.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-targettrackingconfiguration.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk.mixins_preview.aws_autoscalingplans import mixins as autoscalingplans_mixins

target_tracking_configuration_property = autoscalingplans_mixins.CfnScalingPlanPropsMixin.TargetTrackingConfigurationProperty(
    customized_scaling_metric_specification=autoscalingplans_mixins.CfnScalingPlanPropsMixin.CustomizedScalingMetricSpecificationProperty(
        dimensions=[autoscalingplans_mixins.CfnScalingPlanPropsMixin.MetricDimensionProperty(
            name="name",
            value="value"
        )],
        metric_name="metricName",
        namespace="namespace",
        statistic="statistic",
        unit="unit"
    ),
    disable_scale_in=False,
    estimated_instance_warmup=123,
    predefined_scaling_metric_specification=autoscalingplans_mixins.CfnScalingPlanPropsMixin.PredefinedScalingMetricSpecificationProperty(
        predefined_scaling_metric_type="predefinedScalingMetricType",
        resource_label="resourceLabel"
    ),
    scale_in_cooldown=123,
    scale_out_cooldown=123,
    target_value=123
)

Attributes

customized_scaling_metric_specification

A customized metric.

You can specify either a predefined metric or a customized metric.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-targettrackingconfiguration.html#cfn-autoscalingplans-scalingplan-targettrackingconfiguration-customizedscalingmetricspecification

disable_scale_in

Indicates whether scale in by the target tracking scaling policy is disabled.

If the value is true , scale in is disabled and the target tracking scaling policy doesn’t remove capacity from the scalable resource. Otherwise, scale in is enabled and the target tracking scaling policy can remove capacity from the scalable resource.

The default value is false .

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-targettrackingconfiguration.html#cfn-autoscalingplans-scalingplan-targettrackingconfiguration-disablescalein

estimated_instance_warmup

The estimated time, in seconds, until a newly launched instance can contribute to the CloudWatch metrics.

This value is used only if the resource is an Auto Scaling group.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-targettrackingconfiguration.html#cfn-autoscalingplans-scalingplan-targettrackingconfiguration-estimatedinstancewarmup

predefined_scaling_metric_specification

A predefined metric.

You can specify either a predefined metric or a customized metric.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-targettrackingconfiguration.html#cfn-autoscalingplans-scalingplan-targettrackingconfiguration-predefinedscalingmetricspecification

scale_in_cooldown

The amount of time, in seconds, after a scale-in activity completes before another scale in activity can start.

This value is not used if the scalable resource is an Auto Scaling group.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-targettrackingconfiguration.html#cfn-autoscalingplans-scalingplan-targettrackingconfiguration-scaleincooldown

scale_out_cooldown

The amount of time, in seconds, after a scale-out activity completes before another scale-out activity can start.

This value is not used if the scalable resource is an Auto Scaling group.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-targettrackingconfiguration.html#cfn-autoscalingplans-scalingplan-targettrackingconfiguration-scaleoutcooldown

target_value

The target value for the metric.

Although this property accepts numbers of type Double, it won’t accept values that are either too small or too large. Values must be in the range of -2^360 to 2^360.

See:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-autoscalingplans-scalingplan-targettrackingconfiguration.html#cfn-autoscalingplans-scalingplan-targettrackingconfiguration-targetvalue