Cost Analysis: Creating AMI Images from EC2 t2.micro Instances (10x Monthly)


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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:

  1. Clean up old AMIs: Implement lifecycle policies to automatically deregister old AMIs
  2. Reduce image size: Exclude unnecessary files/directories from your snapshots
  3. 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}")