# Configure Application Auto Scaling resources with CloudFormation
This section provides CloudFormation template examples for Application Auto Scaling scaling policies and scheduled actions for different AWS resources.
**Important**
When an Application Auto Scaling snippet is included in the template, you might need to declare a dependency on the specific scalable resource that's created through the template using the `DependsOn` attribute. This overrides the default parallelism and directs CloudFormation to operate on resources in a specified order. Otherwise, the scaling configuration might be applied before the resource has been set up completely.
For more information, see [DependsOn attribute](https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-attribute-dependson.html).
**Topics**
+ [Create a scaling policy for an AppStream fleet](#w2aac11c41c15c19b9)
+ [Create a scaling policy for an Aurora DB cluster](#w2aac11c41c15c19c11)
+ [Create a scaling policy for a DynamoDB table](#w2aac11c41c15c19c13)
+ [Create a scaling policy for an Amazon ECS service (metrics: average CPU and memory)](#w2aac11c41c15c19c15)
+ [Create a scaling policy for an Amazon ECS service (metric: average request count per target)](#w2aac11c41c15c19c17)
+ [Create a scheduled action with a cron expression for a Lambda function](#w2aac11c41c15c19c19)
+ [Create a scheduled action with an `at` expression for a Spot Fleet](#w2aac11c41c15c19c21)
## Create a scaling policy for an AppStream fleet
This snippet shows how to create a policy and apply it to an [https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-appstream-fleet.html](https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-appstream-fleet.html) resource using the [https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-applicationautoscaling-scalingpolicy.html](https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-applicationautoscaling-scalingpolicy.html) resource. The [https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-applicationautoscaling-scalabletarget.html](https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-applicationautoscaling-scalabletarget.html) resource declares a scalable target to which this policy is applied. Application Auto Scaling can scale the number of fleet instances at a minimum of 1 instance and a maximum of 20. The policy keeps the average capacity utilization of the fleet at 75 percent, with scale-out and scale-in cooldown periods of 300 seconds (5 minutes).
It uses the `Fn::Join` and `Rev` intrinsic functions to construct the `ResourceId` property with the logical name of the `AWS::AppStream::Fleet` resource that's specified in the same template. For more information, see [Intrinsic function reference](https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/intrinsic-function-reference.html).
### JSON
```
{
"Resources" : {
"ScalableTarget" : {
"Type" : "AWS::ApplicationAutoScaling::ScalableTarget",
"Properties" : {
"MaxCapacity" : 20,
"MinCapacity" : 1,
"RoleARN" : { "Fn::Sub" : "arn:aws:iam::${AWS::AccountId}:role/aws-service-role/appstream.application-autoscaling.amazonaws.com/AWSServiceRoleForApplicationAutoScaling_AppStreamFleet" },
"ServiceNamespace" : "appstream",
"ScalableDimension" : "appstream:fleet:DesiredCapacity",
"ResourceId" : {
"Fn::Join" : [
"/",
[
"fleet",
{
"Ref" : "logicalName"
}
]
]
}
}
},
"ScalingPolicyAppStreamFleet" : {
"Type" : "AWS::ApplicationAutoScaling::ScalingPolicy",
"Properties" : {
"PolicyName" : { "Fn::Sub" : "${AWS::StackName}-target-tracking-cpu75" },
"PolicyType" : "TargetTrackingScaling",
"ServiceNamespace" : "appstream",
"ScalableDimension" : "appstream:fleet:DesiredCapacity",
"ResourceId" : {
"Fn::Join" : [
"/",
[
"fleet",
{
"Ref" : "logicalName"
}
]
]
},
"TargetTrackingScalingPolicyConfiguration" : {
"TargetValue" : 75,
"PredefinedMetricSpecification" : {
"PredefinedMetricType" : "AppStreamAverageCapacityUtilization"
},
"ScaleInCooldown" : 300,
"ScaleOutCooldown" : 300
}
}
}
}
}
```
### YAML
```
---
Resources:
ScalableTarget:
Type: AWS::ApplicationAutoScaling::ScalableTarget
Properties:
MaxCapacity: 20
MinCapacity: 1
RoleARN:
Fn::Sub: 'arn:aws:iam::${AWS::AccountId}:role/aws-service-role/appstream.application-autoscaling.amazonaws.com/AWSServiceRoleForApplicationAutoScaling_AppStreamFleet'
ServiceNamespace: appstream
ScalableDimension: appstream:fleet:DesiredCapacity
ResourceId: !Join
- /
- - fleet
- !Ref logicalName
ScalingPolicyAppStreamFleet:
Type: AWS::ApplicationAutoScaling::ScalingPolicy
Properties:
PolicyName: !Sub ${AWS::StackName}-target-tracking-cpu75
PolicyType: TargetTrackingScaling
ServiceNamespace: appstream
ScalableDimension: appstream:fleet:DesiredCapacity
ResourceId: !Join
- /
- - fleet
- !Ref logicalName
TargetTrackingScalingPolicyConfiguration:
TargetValue: 75
PredefinedMetricSpecification:
PredefinedMetricType: AppStreamAverageCapacityUtilization
ScaleInCooldown: 300
ScaleOutCooldown: 300
```
## Create a scaling policy for an Aurora DB cluster
In this snippet, you register an [https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-rds-dbcluster.html](https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-rds-dbcluster.html) resource. The [https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-applicationautoscaling-scalabletarget.html](https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-applicationautoscaling-scalabletarget.html) resource indicates that the DB cluster should be dynamically scaled to have from one to eight Aurora Replicas. You also apply a target tracking scaling policy to the cluster using the [https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-applicationautoscaling-scalingpolicy.html](https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-applicationautoscaling-scalingpolicy.html) resource.
In this configuration, the `RDSReaderAverageCPUUtilization` predefined metric is used to adjust an Aurora DB cluster based on an average CPU utilization of 40 percent across all Aurora Replicas in that Aurora DB cluster. The configuration provides a scale-in cooldown period of 10 minutes and a scale-out cooldown period of 5 minutes.
This example uses the `Fn::Sub` intrinsic function to construct the `ResourceId` property with the logical name of the `AWS::RDS::DBCluster` resource that is specified in the same template. For more information, see [Intrinsic function reference](https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/intrinsic-function-reference.html).
### JSON
```
{
"Resources" : {
"ScalableTarget" : {
"Type" : "AWS::ApplicationAutoScaling::ScalableTarget",
"Properties" : {
"MaxCapacity" : 8,
"MinCapacity" : 1,
"RoleARN" : { "Fn::Sub" : "arn:aws:iam::${AWS::AccountId}:role/aws-service-role/rds.application-autoscaling.amazonaws.com/AWSServiceRoleForApplicationAutoScaling_RDSCluster" },
"ServiceNamespace" : "rds",
"ScalableDimension" : "rds:cluster:ReadReplicaCount",
"ResourceId" : { "Fn::Sub" : "cluster:${logicalName}" }
}
},
"ScalingPolicyDBCluster" : {
"Type" : "AWS::ApplicationAutoScaling::ScalingPolicy",
"Properties" : {
"PolicyName" : { "Fn::Sub" : "${AWS::StackName}-target-tracking-cpu40" },
"PolicyType" : "TargetTrackingScaling",
"ServiceNamespace" : "rds",
"ScalableDimension" : "rds:cluster:ReadReplicaCount",
"ResourceId" : { "Fn::Sub" : "cluster:${logicalName}" },
"TargetTrackingScalingPolicyConfiguration" : {
"TargetValue" : 40,
"PredefinedMetricSpecification" : {
"PredefinedMetricType" : "RDSReaderAverageCPUUtilization"
},
"ScaleInCooldown" : 600,
"ScaleOutCooldown" : 300
}
}
}
}
}
```
### YAML
```
---
Resources:
ScalableTarget:
Type: AWS::ApplicationAutoScaling::ScalableTarget
Properties:
MaxCapacity: 8
MinCapacity: 1
RoleARN:
Fn::Sub: 'arn:aws:iam::${AWS::AccountId}:role/aws-service-role/rds.application-autoscaling.amazonaws.com/AWSServiceRoleForApplicationAutoScaling_RDSCluster'
ServiceNamespace: rds
ScalableDimension: rds:cluster:ReadReplicaCount
ResourceId: !Sub cluster:${logicalName}
ScalingPolicyDBCluster:
Type: AWS::ApplicationAutoScaling::ScalingPolicy
Properties:
PolicyName: !Sub ${AWS::StackName}-target-tracking-cpu40
PolicyType: TargetTrackingScaling
ServiceNamespace: rds
ScalableDimension: rds:cluster:ReadReplicaCount
ResourceId: !Sub cluster:${logicalName}
TargetTrackingScalingPolicyConfiguration:
TargetValue: 40
PredefinedMetricSpecification:
PredefinedMetricType: RDSReaderAverageCPUUtilization
ScaleInCooldown: 600
ScaleOutCooldown: 300
```
## Create a scaling policy for a DynamoDB table
This snippet shows how to create a policy with the `TargetTrackingScaling` policy type and apply it to an [https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-dynamodb-table.html](https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-dynamodb-table.html) resource using the [https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-applicationautoscaling-scalingpolicy.html](https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-applicationautoscaling-scalingpolicy.html) resource. The [https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-applicationautoscaling-scalabletarget.html](https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-applicationautoscaling-scalabletarget.html) resource declares a scalable target to which this policy is applied, with a minimum of five write capacity units and a maximum of 15. The scaling policy scales the table's write capacity throughput to maintain the target utilization at 50 percent based on the `DynamoDBWriteCapacityUtilization` predefined metric.
It uses the `Fn::Join` and `Ref` intrinsic functions to construct the `ResourceId` property with the logical name of the `AWS::DynamoDB::Table` resource that's specified in the same template. For more information, see [Intrinsic function reference](https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/intrinsic-function-reference.html).
**Note**
For more information about how to create an CloudFormation template for DynamoDB resources, see the blog post [How to use CloudFormation to configure auto scaling for Amazon DynamoDB tables and indexes](https://aws.amazon.com/blogs/database/how-to-use-aws-cloudformation-to-configure-auto-scaling-for-amazon-dynamodb-tables-and-indexes/) on the AWS Database Blog.
### JSON
```
{
"Resources" : {
"WriteCapacityScalableTarget" : {
"Type" : "AWS::ApplicationAutoScaling::ScalableTarget",
"Properties" : {
"MaxCapacity" : 15,
"MinCapacity" : 5,
"RoleARN" : { "Fn::Sub" : "arn:aws:iam::${AWS::AccountId}:role/aws-service-role/dynamodb.application-autoscaling.amazonaws.com/AWSServiceRoleForApplicationAutoScaling_DynamoDBTable" },
"ServiceNamespace" : "dynamodb",
"ScalableDimension" : "dynamodb:table:WriteCapacityUnits",
"ResourceId" : {
"Fn::Join" : [
"/",
[
"table",
{
"Ref" : "logicalName"
}
]
]
}
}
},
"WriteScalingPolicy" : {
"Type" : "AWS::ApplicationAutoScaling::ScalingPolicy",
"Properties" : {
"PolicyName" : "WriteScalingPolicy",
"PolicyType" : "TargetTrackingScaling",
"ScalingTargetId" : { "Ref" : "WriteCapacityScalableTarget" },
"TargetTrackingScalingPolicyConfiguration" : {
"TargetValue" : 50.0,
"ScaleInCooldown" : 60,
"ScaleOutCooldown" : 60,
"PredefinedMetricSpecification" : {
"PredefinedMetricType" : "DynamoDBWriteCapacityUtilization"
}
}
}
}
}
}
```
### YAML
```
---
Resources:
WriteCapacityScalableTarget:
Type: AWS::ApplicationAutoScaling::ScalableTarget
Properties:
MaxCapacity: 15
MinCapacity: 5
RoleARN:
Fn::Sub: 'arn:aws:iam::${AWS::AccountId}:role/aws-service-role/dynamodb.application-autoscaling.amazonaws.com/AWSServiceRoleForApplicationAutoScaling_DynamoDBTable'
ServiceNamespace: dynamodb
ScalableDimension: dynamodb:table:WriteCapacityUnits
ResourceId: !Join
- /
- - table
- !Ref logicalName
WriteScalingPolicy:
Type: AWS::ApplicationAutoScaling::ScalingPolicy
Properties:
PolicyName: WriteScalingPolicy
PolicyType: TargetTrackingScaling
ScalingTargetId: !Ref WriteCapacityScalableTarget
TargetTrackingScalingPolicyConfiguration:
TargetValue: 50.0
ScaleInCooldown: 60
ScaleOutCooldown: 60
PredefinedMetricSpecification:
PredefinedMetricType: DynamoDBWriteCapacityUtilization
```
## Create a scaling policy for an Amazon ECS service (metrics: average CPU and memory)
This snippet shows how to create a policy and apply it to an [https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-ecs-service.html](https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-ecs-service.html) resource using the [https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-applicationautoscaling-scalingpolicy.html](https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-applicationautoscaling-scalingpolicy.html) resource. The [https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-applicationautoscaling-scalabletarget.html](https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-applicationautoscaling-scalabletarget.html) resource declares a scalable target to which this policy is applied. Application Auto Scaling can scale the number of tasks at a minimum of 1 task and a maximum of 6.
It creates two scaling policies with the `TargetTrackingScaling` policy type. The policies are used to scale the ECS service based on the service's average CPU and memory usage. It uses the `Fn::Join` and `Ref` intrinsic functions to construct the `ResourceId` property with the logical names of the [https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-ecs-cluster.html](https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-ecs-cluster.html) (`myContainerCluster`) and `AWS::ECS::Service` (`myService`) resources that are specified in the same template. For more information, see [Intrinsic function reference](https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/intrinsic-function-reference.html).
### JSON
```
{
"Resources" : {
"ECSScalableTarget" : {
"Type" : "AWS::ApplicationAutoScaling::ScalableTarget",
"Properties" : {
"MaxCapacity" : "6",
"MinCapacity" : "1",
"RoleARN" : { "Fn::Sub" : "arn:aws:iam::${AWS::AccountId}:role/aws-service-role/ecs.application-autoscaling.amazonaws.com/AWSServiceRoleForApplicationAutoScaling_ECSService" },
"ServiceNamespace" : "ecs",
"ScalableDimension" : "ecs:service:DesiredCount",
"ResourceId" : {
"Fn::Join" : [
"/",
[
"service",
{
"Ref" : "myContainerCluster"
},
{
"Fn::GetAtt" : [
"myService",
"Name"
]
}
]
]
}
}
},
"ServiceScalingPolicyCPU" : {
"Type" : "AWS::ApplicationAutoScaling::ScalingPolicy",
"Properties" : {
"PolicyName" : { "Fn::Sub" : "${AWS::StackName}-target-tracking-cpu70" },
"PolicyType" : "TargetTrackingScaling",
"ScalingTargetId" : { "Ref" : "ECSScalableTarget" },
"TargetTrackingScalingPolicyConfiguration" : {
"TargetValue" : 70.0,
"ScaleInCooldown" : 180,
"ScaleOutCooldown" : 60,
"PredefinedMetricSpecification" : {
"PredefinedMetricType" : "ECSServiceAverageCPUUtilization"
}
}
}
},
"ServiceScalingPolicyMem" : {
"Type" : "AWS::ApplicationAutoScaling::ScalingPolicy",
"Properties" : {
"PolicyName" : { "Fn::Sub" : "${AWS::StackName}-target-tracking-mem90" },
"PolicyType" : "TargetTrackingScaling",
"ScalingTargetId" : { "Ref" : "ECSScalableTarget" },
"TargetTrackingScalingPolicyConfiguration" : {
"TargetValue" : 90.0,
"ScaleInCooldown" : 180,
"ScaleOutCooldown" : 60,
"PredefinedMetricSpecification" : {
"PredefinedMetricType" : "ECSServiceAverageMemoryUtilization"
}
}
}
}
}
}
```
### YAML
```
---
Resources:
ECSScalableTarget:
Type: AWS::ApplicationAutoScaling::ScalableTarget
Properties:
MaxCapacity: 6
MinCapacity: 1
RoleARN:
Fn::Sub: 'arn:aws:iam::${AWS::AccountId}:role/aws-service-role/ecs.application-autoscaling.amazonaws.com/AWSServiceRoleForApplicationAutoScaling_ECSService'
ServiceNamespace: ecs
ScalableDimension: 'ecs:service:DesiredCount'
ResourceId: !Join
- /
- - service
- !Ref myContainerCluster
- !GetAtt myService.Name
ServiceScalingPolicyCPU:
Type: AWS::ApplicationAutoScaling::ScalingPolicy
Properties:
PolicyName: !Sub ${AWS::StackName}-target-tracking-cpu70
PolicyType: TargetTrackingScaling
ScalingTargetId: !Ref ECSScalableTarget
TargetTrackingScalingPolicyConfiguration:
TargetValue: 70.0
ScaleInCooldown: 180
ScaleOutCooldown: 60
PredefinedMetricSpecification:
PredefinedMetricType: ECSServiceAverageCPUUtilization
ServiceScalingPolicyMem:
Type: AWS::ApplicationAutoScaling::ScalingPolicy
Properties:
PolicyName: !Sub ${AWS::StackName}-target-tracking-mem90
PolicyType: TargetTrackingScaling
ScalingTargetId: !Ref ECSScalableTarget
TargetTrackingScalingPolicyConfiguration:
TargetValue: 90.0
ScaleInCooldown: 180
ScaleOutCooldown: 60
PredefinedMetricSpecification:
PredefinedMetricType: ECSServiceAverageMemoryUtilization
```
## Create a scaling policy for an Amazon ECS service (metric: average request count per target)
The following example applies a target tracking scaling policy with the `ALBRequestCountPerTarget` predefined metric to an ECS service. The policy is used to add capacity to the ECS service when the request count per target (per minute) exceeds the target value. Because the value of `DisableScaleIn` is set to `true`, the target tracking policy won't remove capacity from the scalable target.
It uses the `Fn::Join` and `Fn::GetAtt` intrinsic functions to construct the `ResourceLabel` property with the logical names of the [https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-elasticloadbalancingv2-loadbalancer.html](https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-elasticloadbalancingv2-loadbalancer.html) (`myLoadBalancer`) and [https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-elasticloadbalancingv2-targetgroup.html](https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-elasticloadbalancingv2-targetgroup.html) (`myTargetGroup`) resources that are specified in the same template. For more information, see [Intrinsic function reference](https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/intrinsic-function-reference.html).
The `MaxCapacity` and `MinCapacity` properties of the scalable target and the `TargetValue` property of the scaling policy reference parameter values that you pass to the template when creating or updating a stack.
### JSON
```
{
"Resources" : {
"ECSScalableTarget" : {
"Type" : "AWS::ApplicationAutoScaling::ScalableTarget",
"Properties" : {
"MaxCapacity" : { "Ref" : "MaxCount" },
"MinCapacity" : { "Ref" : "MinCount" },
"RoleARN" : { "Fn::Sub" : "arn:aws:iam::${AWS::AccountId}:role/aws-service-role/ecs.application-autoscaling.amazonaws.com/AWSServiceRoleForApplicationAutoScaling_ECSService" },
"ServiceNamespace" : "ecs",
"ScalableDimension" : "ecs:service:DesiredCount",
"ResourceId" : {
"Fn::Join" : [
"/",
[
"service",
{
"Ref" : "myContainerCluster"
},
{
"Fn::GetAtt" : [
"myService",
"Name"
]
}
]
]
}
}
},
"ServiceScalingPolicyALB" : {
"Type" : "AWS::ApplicationAutoScaling::ScalingPolicy",
"Properties" : {
"PolicyName" : "alb-requests-per-target-per-minute",
"PolicyType" : "TargetTrackingScaling",
"ScalingTargetId" : { "Ref" : "ECSScalableTarget" },
"TargetTrackingScalingPolicyConfiguration" : {
"TargetValue" : { "Ref" : "ALBPolicyTargetValue" },
"ScaleInCooldown" : 180,
"ScaleOutCooldown" : 30,
"DisableScaleIn" : true,
"PredefinedMetricSpecification" : {
"PredefinedMetricType" : "ALBRequestCountPerTarget",
"ResourceLabel" : {
"Fn::Join" : [
"/",
[
{
"Fn::GetAtt" : [
"myLoadBalancer",
"LoadBalancerFullName"
]
},
{
"Fn::GetAtt" : [
"myTargetGroup",
"TargetGroupFullName"
]
}
]
]
}
}
}
}
}
}
}
```
### YAML
```
---
Resources:
ECSScalableTarget:
Type: AWS::ApplicationAutoScaling::ScalableTarget
Properties:
MaxCapacity: !Ref MaxCount
MinCapacity: !Ref MinCount
RoleARN:
Fn::Sub: 'arn:aws:iam::${AWS::AccountId}:role/aws-service-role/ecs.application-autoscaling.amazonaws.com/AWSServiceRoleForApplicationAutoScaling_ECSService'
ServiceNamespace: ecs
ScalableDimension: 'ecs:service:DesiredCount'
ResourceId: !Join
- /
- - service
- !Ref myContainerCluster
- !GetAtt myService.Name
ServiceScalingPolicyALB:
Type: AWS::ApplicationAutoScaling::ScalingPolicy
Properties:
PolicyName: alb-requests-per-target-per-minute
PolicyType: TargetTrackingScaling
ScalingTargetId: !Ref ECSScalableTarget
TargetTrackingScalingPolicyConfiguration:
TargetValue: !Ref ALBPolicyTargetValue
ScaleInCooldown: 180
ScaleOutCooldown: 30
DisableScaleIn: true
PredefinedMetricSpecification:
PredefinedMetricType: ALBRequestCountPerTarget
ResourceLabel: !Join
- '/'
- - !GetAtt myLoadBalancer.LoadBalancerFullName
- !GetAtt myTargetGroup.TargetGroupFullName
```
## Create a scheduled action with a cron expression for a Lambda function
This snippet registers the provisioned concurrency for a function alias ([https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-lambda-alias.html](https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-lambda-alias.html)) named `BLUE` using the [https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-applicationautoscaling-scalabletarget.html](https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-applicationautoscaling-scalabletarget.html) resource. It also creates a scheduled action with a recurring schedule using a cron expression. The time zone for the recurring schedule is UTC.
It uses the `Fn::Join` and `Ref` intrinsic functions in the `RoleARN` property to specify the ARN of the service-linked role. It uses the `Fn::Sub` intrinsic function to construct the `ResourceId` property with the logical name of the [https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-lambda-function.html](https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-lambda-function.html) or [https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/sam-resource-function.html](https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/sam-resource-function.html) resource that is specified in the same template. For more information, see [Intrinsic function reference](https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/intrinsic-function-reference.html).
**Note**
You can't allocate provisioned concurrency on an alias that points to the unpublished version (`$LATEST`).
For more information about how to create an CloudFormation template for Lambda resources, see the blog post [Scheduling AWS Lambda Provisioned Concurrency for recurring peak usage](https://aws.amazon.com/blogs/compute/scheduling-aws-lambda-provisioned-concurrency-for-recurring-peak-usage/) on the AWS Compute Blog.
### JSON
```
{
"ScalableTarget" : {
"Type" : "AWS::ApplicationAutoScaling::ScalableTarget",
"Properties" : {
"MaxCapacity" : 250,
"MinCapacity" : 0,
"RoleARN" : {
"Fn::Join" : [
":",
[
"arn:aws:iam:",
{
"Ref" : "AWS::AccountId"
},
"role/aws-service-role/lambda.application-autoscaling.amazonaws.com/AWSServiceRoleForApplicationAutoScaling_LambdaConcurrency"
]
]
},
"ServiceNamespace" : "lambda",
"ScalableDimension" : "lambda:function:ProvisionedConcurrency",
"ResourceId" : { "Fn::Sub" : "function:${logicalName}:BLUE" },
"ScheduledActions" : [
{
"ScalableTargetAction" : {
"MinCapacity" : "250"
},
"ScheduledActionName" : "my-scale-out-scheduled-action",
"Schedule" : "cron(0 18 * * ? *)",
"EndTime" : "2022-12-31T12:00:00.000Z"
}
]
}
}
}
```
### YAML
```
ScalableTarget:
Type: AWS::ApplicationAutoScaling::ScalableTarget
Properties:
MaxCapacity: 250
MinCapacity: 0
RoleARN: !Join
- ':'
- - 'arn:aws:iam:'
- !Ref 'AWS::AccountId'
- role/aws-service-role/lambda.application-autoscaling.amazonaws.com/AWSServiceRoleForApplicationAutoScaling_LambdaConcurrency
ServiceNamespace: lambda
ScalableDimension: lambda:function:ProvisionedConcurrency
ResourceId: !Sub function:${logicalName}:BLUE
ScheduledActions:
- ScalableTargetAction:
MinCapacity: 250
ScheduledActionName: my-scale-out-scheduled-action
Schedule: 'cron(0 18 * * ? *)'
EndTime: '2022-12-31T12:00:00.000Z'
```
## Create a scheduled action with an `at` expression for a Spot Fleet
This snippet shows how to create two scheduled actions that occur only once for an [https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-ec2-spotfleet.html](https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-ec2-spotfleet.html) resource using the [https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-applicationautoscaling-scalabletarget.html](https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/aws-resource-applicationautoscaling-scalabletarget.html) resource. The time zone for each one-time scheduled action is UTC.
It uses the `Fn::Join` and `Ref` intrinsic functions to construct the `ResourceId` property with the logical name of the `AWS::EC2::SpotFleet` resource that is specified in the same template. For more information, see [Intrinsic function reference](https://docs.aws.amazon.com/AWSCloudFormation/latest/TemplateReference/intrinsic-function-reference.html).
**Note**
The Spot Fleet request must have a request type of `maintain`. Automatic scaling isn't supported for one-time requests or Spot blocks.
### JSON
```
{
"Resources" : {
"SpotFleetScalableTarget" : {
"Type" : "AWS::ApplicationAutoScaling::ScalableTarget",
"Properties" : {
"MaxCapacity" : 0,
"MinCapacity" : 0,
"RoleARN" : { "Fn::Sub" : "arn:aws:iam::${AWS::AccountId}:role/aws-service-role/ec2.application-autoscaling.amazonaws.com/AWSServiceRoleForApplicationAutoScaling_EC2SpotFleetRequest" },
"ServiceNamespace" : "ec2",
"ScalableDimension" : "ec2:spot-fleet-request:TargetCapacity",
"ResourceId" : {
"Fn::Join" : [
"/",
[
"spot-fleet-request",
{
"Ref" : "logicalName"
}
]
]
},
"ScheduledActions" : [
{
"ScalableTargetAction" : {
"MaxCapacity" : "10",
"MinCapacity" : "10"
},
"ScheduledActionName" : "my-scale-out-scheduled-action",
"Schedule" : "at(2022-05-20T13:00:00)"
},
{
"ScalableTargetAction" : {
"MaxCapacity" : "0",
"MinCapacity" : "0"
},
"ScheduledActionName" : "my-scale-in-scheduled-action",
"Schedule" : "at(2022-05-20T21:00:00)"
}
]
}
}
}
}
```
### YAML
```
---
Resources:
SpotFleetScalableTarget:
Type: AWS::ApplicationAutoScaling::ScalableTarget
Properties:
MaxCapacity: 0
MinCapacity: 0
RoleARN:
Fn::Sub: 'arn:aws:iam::${AWS::AccountId}:role/aws-service-role/ec2.application-autoscaling.amazonaws.com/AWSServiceRoleForApplicationAutoScaling_EC2SpotFleetRequest'
ServiceNamespace: ec2
ScalableDimension: 'ec2:spot-fleet-request:TargetCapacity'
ResourceId: !Join
- /
- - spot-fleet-request
- !Ref logicalName
ScheduledActions:
- ScalableTargetAction:
MaxCapacity: 10
MinCapacity: 10
ScheduledActionName: my-scale-out-scheduled-action
Schedule: 'at(2022-05-20T13:00:00)'
- ScalableTargetAction:
MaxCapacity: 0
MinCapacity: 0
ScheduledActionName: my-scale-in-scheduled-action
Schedule: 'at(2022-05-20T21:00:00)'
```