Skip to main content
ClaudeWave
Skill279 repo starsupdated 6d ago

aws-cloudformation-auto-scaling

This Claude Code skill provides AWS CloudFormation templates and patterns for implementing Auto Scaling infrastructure across EC2, ECS, and Lambda workloads. Use it when designing Auto Scaling Groups, configuring launch templates and configurations, setting up scaling policies, adding lifecycle hooks, and structuring templates with parameters, outputs, mappings, and cross-stack references for production-ready deployments optimized for high availability and cost efficiency.

Install in Claude Code
Copy
git clone --depth 1 https://github.com/giuseppe-trisciuoglio/developer-kit /tmp/aws-cloudformation-auto-scaling && cp -r /tmp/aws-cloudformation-auto-scaling/plugins/developer-kit-aws/skills/aws-cloudformation/aws-cloudformation-auto-scaling ~/.claude/skills/aws-cloudformation-auto-scaling
Then start a new Claude Code session; the skill loads automatically.

SKILL.md

# 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:
chunking-strategySkill

Provides chunking strategies for RAG systems. Generates chunk size recommendations (256-1024 tokens), overlap percentages (10-20%), and semantic boundary detection methods. Validates semantic coherence and evaluates retrieval precision/recall metrics. Use when building retrieval-augmented generation systems, vector databases, or processing large documents.

prompt-engineeringSkill

>

ragSkill

Implements document chunking, embedding generation, vector storage, and retrieval pipelines for Retrieval-Augmented Generation systems. Use when building RAG applications, creating document Q&A systems, or integrating AI with knowledge bases.

aws-cloudformation-bedrockSkill

Provides AWS CloudFormation patterns for Amazon Bedrock resources including agents, knowledge bases, data sources, guardrails, prompts, flows, and inference profiles. Use when creating Bedrock agents with action groups, implementing RAG with knowledge bases, configuring vector stores, setting up content moderation guardrails, managing prompts, orchestrating workflows with flows, and configuring inference profiles for model optimization.

aws-cloudformation-cloudfrontSkill

Provides AWS CloudFormation patterns for CloudFront distributions, origins (ALB, S3, Lambda@Edge, VPC Origins), CacheBehaviors, Functions, SecurityHeaders, parameters, Outputs and cross-stack references. Use when creating CloudFront distributions with CloudFormation, configuring multiple origins, implementing caching strategies, managing custom domains with ACM, configuring WAF, and optimizing performance.

aws-cloudformation-cloudwatchSkill

Provides AWS CloudFormation patterns for CloudWatch monitoring, metrics, alarms, dashboards, logs, and observability. Use when creating CloudWatch metrics, alarms, dashboards, log groups, log subscriptions, anomaly detection, synthesized canaries, Application Signals, and implementing template structure with Parameters, Outputs, Mappings, Conditions, cross-stack references, and CloudWatch best practices for monitoring production infrastructure.

aws-cloudformation-dynamodbSkill

Provides AWS CloudFormation patterns for DynamoDB tables, GSIs, LSIs, auto-scaling, and streams. Use when creating DynamoDB tables with CloudFormation, configuring primary keys, local/global secondary indexes, capacity modes (on-demand/provisioned), point-in-time recovery, encryption, TTL, and implementing template structure with Parameters, Outputs, Mappings, Conditions, cross-stack references.

aws-cloudformation-ec2Skill

Provides AWS CloudFormation patterns for EC2 instances, Security Groups, IAM roles, and load balancers. Use when creating EC2 instances, SPOT instances, Security Groups, IAM roles for EC2, Application Load Balancers (ALB), Target Groups, and implementing template structure with Parameters, Outputs, Mappings, Conditions, and cross-stack references.