When working with AWS Auto Scaling Groups (ASG), a common pain point emerges when dealing with stateful applications that require persistent storage. By default, ASG creates fresh EBS volumes for each new EC2 instance, which doesn't work when you need to maintain data across instance replacements.
The standard ASG behavior terminates instances (and their attached EBS volumes) when scaling in, then launches new instances with fresh volumes when scaling out. This breaks workflows where:
- Databases need to persist data across instance replacements
- Applications maintain local state that can't be lost
- Large data sets make frequent rehydration impractical
Here's a working approach using ASG lifecycle hooks and instance user data:
#!/bin/bash
# User data script to attach existing EBS volume
INSTANCE_ID=$(curl -s http://169.254.169.254/latest/meta-data/instance-id)
REGION=$(curl -s http://169.254.169.254/latest/meta-data/placement/region)
# Find existing volume (filter by your specific tags)
VOLUME_ID=$(aws ec2 describe-volumes \
--region $REGION \
--filters "Name=tag:PersistentVolume,Values=true" \
--query "Volumes[0].VolumeId" \
--output text)
# Attach volume to new instance
aws ec2 attach-volume \
--volume-id $VOLUME_ID \
--instance-id $INSTANCE_ID \
--device /dev/sdf \
--region $REGION
# Mount the volume
mkdir /data
mount /dev/xvdf /data
When implementing this solution:
- Volume Identification: Use consistent tagging (like "PersistentVolume=true") to identify reusable volumes
- Detachment Handling: Implement a termination lifecycle hook to properly detach the volume
- Race Conditions: Ensure only one instance attempts to attach the volume at a time
- Mount Points: Standardize your device naming and mount points across instances
For more control, you can use Launch Templates with pre-configured block device mappings:
aws ec2 create-launch-template \
--launch-template-name PersistentVolumeTemplate \
--launch-template-data '{
"BlockDeviceMappings": [{
"DeviceName": "/dev/sdf",
"Ebs": {
"VolumeId": "vol-1234567890abcdef0",
"DeleteOnTermination": false
}
}]
}'
Remember to update the template when you need to change the volume reference.
Always implement:
- CloudWatch alarms for volume attachment failures
- Retry logic in your user data scripts
- SNS notifications for lifecycle hook timeouts
AWS Auto Scaling Groups (ASG) fundamentally work with ephemeral instances, which creates a technical hurdle when you need persistent storage attached to newly launched instances. The default behavior creates fresh EBS volumes for each new instance, which isn't ideal when you need to maintain state.
While ASG doesn't natively support this workflow, we can implement solutions using AWS lifecycle hooks and custom scripts:
# Example CloudFormation snippet for lifecycle hook
Resources:
LaunchHook:
Type: AWS::AutoScaling::LifecycleHook
Properties:
AutoScalingGroupName: !Ref MyASG
LifecycleTransition: "autoscaling:EC2_INSTANCE_LAUNCHING"
RoleARN: !GetAtt LifecycleRole.Arn
NotificationTargetARN: !Ref SNSArn
HeartbeatTimeout: 300
The complete workflow requires these components:
- Lifecycle hook triggering on instance launch
- Lambda function to handle volume attachment
- Proper IAM permissions for volume operations
- Instance metadata to identify correct volumes
# Lambda function Python example
import boto3
def lambda_handler(event, context):
ec2 = boto3.resource('ec2')
instance_id = event['detail']['EC2InstanceId']
# Get the next available volume (implement your logic here)
volume = ec2.Volume('vol-12345678')
# Attach to new instance
ec2.Instance(instance_id).attach_volume(
VolumeId=volume.id,
Device='/dev/sdf'
)
Important factors to address in your implementation:
- Volume availability zone matching
- Proper volume detachment during termination
- Race conditions in multi-instance scenarios
- Data consistency checks
For io1/io2 volumes in specific use cases:
# Enable multi-attach when creating volume
aws ec2 create-volume \
--availability-zone us-west-2a \
--size 100 \
--volume-type io1 \
--iops 1000 \
--multi-attach-enabled
For mission-critical implementations:
- Implement volume health checks
- Add retry logic for attachment operations
- Monitor attachment success/failure rates
- Consider using EBS Snapshots as backup