When creating AMI images from EC2 t2.micro instances, there are three primary cost components to consider:
- Storage costs: AMIs are stored in Amazon S3 (standard storage pricing applies)
- Snapshot costs: Each AMI creates EBS snapshots (charged per GB-month)
- Data transfer costs: Minimal charges may apply for internal AWS transfers
As of 2023, the costs for creating 10 AMIs monthly from t2.micro instances would be:
Component | Cost per AMI | 10 AMIs Cost |
---|---|---|
EBS Snapshot Storage | $0.05/GB-month (first 50GB) | $0.50 (assuming 1GB each) |
S3 Storage | $0.023/GB-month | $0.23 |
API Requests | $0.005 per 1,000 requests | Negligible |
Here's a bash script to create AMIs from running t2.micro instances:
#!/bin/bash
INSTANCE_IDS=$(aws ec2 describe-instances \
--filters "Name=instance-type,Values=t2.micro" \
--query "Reservations[].Instances[].InstanceId" \
--output text)
for INSTANCE_ID in $INSTANCE_IDS; do
TIMESTAMP=$(date +%Y%m%d%H%M%S)
AMI_NAME="t2micro-ami-$TIMESTAMP"
aws ec2 create-image \
--instance-id $INSTANCE_ID \
--name "$AMI_NAME" \
--description "Automated AMI from t2.micro instance" \
--no-reboot
echo "Created AMI for instance $INSTANCE_ID with name $AMI_NAME"
done
To minimize your AMI creation costs:
- Clean up old AMIs: Implement lifecycle policies to automatically deregister old AMIs
- Reduce image size: Exclude unnecessary files/directories from your snapshots
- Schedule creations: Create AMIs during off-peak hours if using larger instances
Use AWS Cost Explorer with this filter:
aws ce get-cost-and-usage \
--time-period Start=2023-01-01,End=2023-01-31 \
--granularity MONTHLY \
--metrics "UnblendedCost" \
--filter '{
"Dimensions": {
"Key": "USAGE_TYPE_GROUP",
"Values": ["EC2: EBS - Snapshots"]
}
}'
Creating AMI images from EC2 Micro instances involves several cost components:
1. Storage costs for snapshots (EBS) 2. AMI management fees 3. Potential data transfer charges
For a standard AWS region (US East/N. Virginia) as of 2023:
// Sample cost calculation in JavaScript const ebsStorageCost = 0.05; // $ per GB-month const amiFee = 0.05; // $ per AMI-month const snapshotSize = 8; // GB (typical for Micro instance) function calculateAMICost(quantity) { const storageCost = snapshotSize * ebsStorageCost * quantity; const amiManagementCost = amiFee * quantity; return storageCost + amiManagementCost; } console.log(Monthly cost for 10 AMIs: $${calculateAMICost(10).toFixed(2)});
Consider these AWS CLI commands for efficient AMI management:
# Create AMI from running instance
aws ec2 create-image \
--instance-id i-1234567890abcdef0 \
--name "MyServer-AMI" \
--description "Micro instance AMI" \
--no-reboot
# Cleanup old AMIs and snapshots
aws ec2 deregister-image --image-id ami-12345678
aws ec2 delete-snapshot --snapshot-id snap-12345678
- Use smaller EBS volumes (but consider OS requirements)
- Implement lifecycle policies for automatic cleanup
- Consider AMI sharing for cross-account usage
- Monitor with AWS Cost Explorer
Here's a Python script using Boto3 to automate AMI creation with cost tracking:
import boto3
from datetime import datetime
ec2 = boto3.client('ec2')
def create_ami(instance_id):
now = datetime.now().strftime("%Y-%m-%d")
response = ec2.create_image(
InstanceId=instance_id,
Name=f"auto-ami-{now}",
Description=f"Automated AMI created on {now}",
NoReboot=True
)
return response['ImageId']
# Usage example for 10 AMIs
for i in range(10):
ami_id = create_ami('i-1234567890abcdef0')
print(f"Created AMI {i+1}: {ami_id}")