aws-cloudformation-auto-scaling
Provides AWS CloudFormation patterns for Auto Scaling including EC2, ECS, and Lambda. Use when creating Auto Scaling groups, launch configurations, launch templates, scaling policies, lifecycle hooks, and predictive scaling. Covers template structure with Parameters, Outputs, Mappings, Conditions, cross-stack references, and best practices for high availability and cost optimization.
Works with
---
name: aws-cloudformation-auto-scaling
description: Provides AWS CloudFormation patterns for Auto Scaling including EC2, ECS, and Lambda. Use when creating Auto Scaling groups, launch configurations, launch templates, scaling policies, lifecycle hooks, and predictive scaling. Covers template structure with Parameters, Outputs, Mappings, Conditions, cross-stack references, and best practices for high availability and cost optimization.
license: MIT
---
# AWS CloudFormation Auto Scaling
## Overview
Create production-ready Auto Scaling infrastructure using AWS CloudFormation templates. This skill covers Auto Scaling Groups for EC2, ECS, and Lambda, launch configurations, launch templates, scaling policies, lifecycle hooks, and best practices for high availability and cost optimization.
## When to Use
Use this skill when:
- Creating Auto Scaling Groups for EC2 instances
- Configuring Launch Configurations or Launch Templates
- Implementing scaling policies (step, target tracking, simple)
- Adding lifecycle hooks for lifecycle management
- Creating scaling for ECS services
- Implementing Lambda provisioned concurrency scaling
- Organizing templates with Parameters, Outputs, Mappings, Conditions
- Implementing cross-stack references with export/import
- Using mixed instances policies for diversity
## Instructions
Follow these steps to create Auto Scaling infrastructure with CloudFormation:
### 1. Define Parameters
Specify capacity and instance settings with AWS-specific parameter types:
```yaml
Parameters:
MinSize:
Type: Number
Default: 2
Description: Minimum number of instances
MaxSize:
Type: Number
Default: 10
Description: Maximum number of instances
DesiredCapacity:
Type: Number
Default: 2
Description: Desired number of instances
InstanceType:
Type: AWS::EC2::Instance::Type
Default: t3.micro
Description: EC2 instance type
AmiId:
Type: AWS::EC2::Image::Id
Description: AMI ID for instances
SubnetIds:
Type: List<AWS::EC2::Subnet::Id>
Description: Subnets for Auto Scaling group
```
### 2. Create Launch Configuration
Define instance launch settings:
```yaml
Resources:
MyLaunchConfiguration:
Type: AWS::AutoScaling::LaunchConfiguration
Properties:
LaunchConfigurationName: !Sub "${AWS::StackName}-lc"
ImageId: !Ref AmiId
InstanceType: !Ref InstanceType
KeyName: !Ref KeyName
SecurityGroups:
- !Ref InstanceSecurityGroup
InstanceMonitoring: Enabled
UserData:
Fn::Base64: |
#!/bin/bash
yum update -y
yum install -y httpd
systemctl start httpd
```
### 3. Create Auto Scaling Group
Specify min/max/desired capacity and networking:
```yaml
Resources:
MyAutoScalingGroup:
Type: AWS::AutoScaling::AutoScalingGroup
Properties:
AutoScalingGroupName: !Sub "${AWS::StackName}-asg"
MinSize: !Ref MinSize
MaxSize: !Ref MaxSize
DesiredCapacity: !Ref DesiredCapacity
VPCZoneIdentifier: !Ref SubnetIds
LaunchConfigurationName: !Ref MyLaunchConfiguration
TargetGroupARNs:
- !Ref MyTargetGroup
HealthCheckType: ELB
HealthCheckGracePeriod: 300
Tags:
- Key: Environment
Value: !Ref Environment
PropagateAtLaunch: true
```
### 4. Configure Load Balancer Integration
Set up ALB for traffic distribution:
```yaml
Resources:
MyTargetGroup:
Type: AWS::ElasticLoadBalancingV2::TargetGroup
Properties:
Name: !Sub "${AWS::StackName}-tg"
Port: 80
Protocol: HTTP
VpcId: !Ref VPCId
HealthCheckPath: /
TargetType: instance
MyLoadBalancer:
Type: AWS::ElasticLoadBalancingV2::LoadBalancer
Properties:
Name: !Sub "${AWS::StackName}-alb"
Scheme: internet-facing
Type: application
Subnets:
- !Ref PublicSubnet1
- !Ref PublicSubnet2
```
### 5. Add Scaling Policies
Implement target tracking scaling:
```yaml
Resources:
TargetTrackingPolicy:
Type: AWS::AutoScaling::ScalingPolicy
Properties:
PolicyName: !Sub "${AWS::StackName}-target-tracking"
PolicyType: TargetTrackingScaling
AutoScalingGroupName: !Ref MyAutoScalingGroup
TargetTrackingConfiguration:
PredefinedMetricSpecification:
PredefinedMetricType: ASGAverageCPUUtilization
TargetValue: 70
DisableScaleIn: false
```
### 6. Configure Lifecycle Hooks
Implement hooks for graceful instance management:
```yaml
Resources:
LifecycleHookTermination:
Type: AWS::AutoScaling::LifecycleHook
Properties:
LifecycleHookName: !Sub "${AWS::StackName}-termination-hook"
AutoScalingGroupName: !Ref MyAutoScalingGroup
LifecycleTransition: autoscaling:EC2_INSTANCE_TERMINATING
HeartbeatTimeout: 300
NotificationTargetARN: !Ref SNSTopic
RoleARN: !Ref LifecycleHookRole
```
### 7. Set Up Monitoring
Configure CloudWatch alarms for scaling triggers:
```yaml
Resources:
HighCpuAlarm:
Type: AWS::CloudWatch::Alarm
Properties:
AlarmName: !Sub "${AWS::StackName}-high-cpu"
MetricName: CPUUtilization
Namespace: AWS/EC2
Dimensions:
- Name: AutoScalingGroupName
Value: !Ref MyAutoScalingGroup
Statistic: Average
Period: 60
EvaluationPeriods: 3
Threshold: 70
ComparisonOperator: GreaterThanThreshold
```
### 8. Configure Outputs and Cross-Stack References
Export ASG configuration for other stacks:
```yaml
Outputs:
AutoScalingGroupName:
Description: Name of the Auto Scaling Group
Value: !Ref MyAutoScalingGroup
Export:
Name: !Sub "${AWS::StackName}-AutoScalingGroupName"
AutoScalingGroupArn:
Description: ARN of the Auto Scaling Group
Value: !GetAtt MyAutoScalingGroup.AutoScalingGroupArn
Export:
Name: !Sub "${AWS::StackName}-AutoScalingGroupArn"
```
## Examples
### Complete Auto Scaling Template
Full end-to-end template with VPC, ASG, ALB, and scaling policies:
```yaml
AWSTemplateFormatVersion: '2010-09-09'
Description: Auto Scaling Group with ALB integration
Parameters:
Environment:
Type: String
Default: production
InstanceType:
Type: AWS::EC2::Instance::Type
Default: t3.micro
AmiId:
Type: AWS::EC2::Image::Id
VpcId:
Type: AWS::EC2::VPC::Id
SubnetIds:
Type: List<AWS::EC2::Subnet::Id>
Resources:
InstanceSecurityGroup:
Type: AWS::EC2::SecurityGroup
Properties:
GroupDescription: Security group for ASG instances
VpcId: !Ref VpcId
SecurityGroupEgress:
- CidrIp: 0.0.0.0/0
IpProtocol: "-1"
TargetGroup:
Type: AWS::ElasticLoadBalancingV2::TargetGroup
Properties:
Name: !Sub "${AWS::StackName}-tg"
Port: 80
Protocol: HTTP
VpcId: !Ref VpcId
HealthCheckPath: /health
TargetType: instance
LaunchTemplate:
Type: AWS::EC2::LaunchTemplate
Properties:
LaunchTemplateName: !Sub "${AWS::StackName}-lt"
ImageId: !Ref AmiId
InstanceType: !Ref InstanceType
SecurityGroupIds:
- !Ref InstanceSecurityGroup
AutoScalingGroup:
Type: AWS::AutoScaling::AutoScalingGroup
Properties:
AutoScalingGroupName: !Sub "${AWS::StackName}-asg"
MinSize: 2
MaxSize: 10
DesiredCapacity: 4
LaunchTemplate:
LaunchTemplateId: !Ref LaunchTemplate
Version: !GetAtt LaunchTemplate.LatestVersionNumber
VPCZoneIdentifier: !Ref SubnetIds
TargetGroupARNs:
- !Ref TargetGroup
HealthCheckType: ELB
HealthCheckGracePeriod: 300
Tags:
- Key: Name
Value: !Sub "${AWS::StackName}-instance"
PropagateAtLaunch: true
ScalingPolicy:
Type: AWS::AutoScaling::ScalingPolicy
Properties:
PolicyName: !Sub "${AWS::StackName}-cpu-policy"
PolicyType: TargetTrackingScaling
AutoScalingGroupName: !Ref AutoScalingGroup
TargetTrackingConfiguration:
PredefinedMetricSpecification:
PredefinedMetricType: ASGAverageCPUUtilization
TargetValue: 70
Outputs:
AutoScalingGroupName:
Value: !Ref AutoScalingGroup
Export:
Name: !Sub "${AWS::StackName}-ASG-Name"
```
### Validation Commands
Validate template and test changes before deployment:
```bash
# Validate CloudFormation template
aws cloudformation validate-template --template-body file://template.yaml
# Create change set to preview changes
aws cloudformation create-change-set \
--stack-name my-asg-stack \
--template-body file://template.yaml \
--change-set-type CREATE
# Describe change set
aws cloudformation describe-change-set \
--stack-name my-asg-stack \
--change-set-name <change-set-id>
# Execute change set
aws cloudformation execute-change-set \
--stack-name my-asg-stack \
--change-set-name <change-set-id>
```
### Verification Commands
Verify ASG health and configuration after deployment:
```bash
# Describe Auto Scaling Groups
aws autoscaling describe-auto-scaling-groups \
--auto-scaling-group-names my-asg-stack-asg
# Check instance health
aws autoscaling describe-auto-scaling-instances \
--instance-ids <instance-id>
# Verify scaling policies
aws autoscaling describe-policies \
--auto-scaling-group-name my-asg-stack-asg
# Review scaling activities
aws autoscaling describe-scaling-activities \
--auto-scaling-group-name my-asg-stack-asg
```
## Constraints and Warnings
### Resource Limits
- ASG max size: 10000 instances (request limit increase for more)
- Max 20 launch configurations per account (use Launch Templates instead)
- Lifecycle hooks: 50 per ASG
- Scaling policies: 20 per ASG (Target Tracking limit)
- Cooldown period: 300 seconds default (decrease cautiously)
### Operational Warnings
- Do not update both Launch Configuration and Launch Template on the same ASG in one update
- Always use `UpdatePolicy` for graceful updates and instance refresh
- Set `HealthCheckGracePeriod` >= expected instance initialization time
- Lifecycle hook timeout must accommodate graceful shutdown procedures
- Spot Instances: set `InstanceMaintenancePolicy` to avoid unexpected terminations
### Security Warnings
- Never hardcode credentials; use IAM instance profiles
- Use Service-Linked Roles for Auto Scaling (`aws-autoscaling.amazonaws.com`)
- Restrict ASG describe permissions to prevent information disclosure
- KMS keys for EBS encryption must be created in same region as ASG
- Cross-stack references export names must be unique per region
## Best Practices
### High Availability
- Distribute instances across multiple AZs
- Use ALB with health checks for automatic routing
- Implement lifecycle hooks for graceful shutdown
- Configure appropriate termination policies
- Use mixed instances policies for diversity
- Set appropriate health check grace periods
### Cost Optimization
- Use Spot Instances for fault-tolerant workloads
- Implement right-sizing of instances
- Configure aggressive scale-in policies
- Use scheduled scaling for predictable patterns
- Monitor and optimize regularly
- Set appropriate minimum capacity to avoid over-provisioning
### Monitoring
- Create CloudWatch Alarms for key metrics
- Implement scaling policies based on metrics
- Use lifecycle hooks for logging and analytics
- Configure SNS notifications for scaling events
- Implement detailed monitoring for troubleshooting
- Use multiple scaling policies for optimal response
### Security
- Use IAM roles with least privilege permissions
- Encrypt EBS volumes with KMS
- Configure restrictive security groups
- Use VPC with appropriate subnets
- Implement Parameter Store for sensitive configuration
- Avoid broad managed policies (use specific permissions)
- Configure appropriate instance profiles
## References
For detailed implementation guidance, see:
- **[constraints.md](references/constraints.md)** - Resource limits (ASG limits, scaling policy limits, lifecycle hook limits), scaling constraints (cooldown periods, health check grace periods, min/max capacity), operational constraints (mixed instances policy, predictive scaling, instance refresh), security constraints (IAM roles, service-linked roles, KMS permissions), and cost considerations (Spot instance termination, over-provisioning, scaling frequency)
## Related Resources
- [Auto Scaling Documentation](https://docs.aws.amazon.com/autoscaling/)
- [AWS CloudFormation User Guide](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/)
- [Auto Scaling Best Practices](https://docs.aws.amazon.com/autoscaling/plans/userguide/auto-scaling-best-practices.html)
- [Application Auto Scaling](https://docs.aws.amazon.com/autoscaling/application/userguide/what-is-application-auto-scaling.html)More DevOps & Infrastructure skills
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