aws-cost-cleanup
Automated cleanup of unused AWS resources to reduce costs
What this skill does
# AWS Cost Cleanup
Automate the identification and removal of unused AWS resources to eliminate waste.
## When to Use This Skill
Use this skill when you need to automatically clean up unused AWS resources to reduce costs and eliminate waste.
## Automated Cleanup Targets
**Storage**
- Unattached EBS volumes
- Old EBS snapshots (>90 days)
- Incomplete multipart S3 uploads
- Old S3 versions in versioned buckets
**Compute**
- Stopped EC2 instances (>30 days)
- Unused AMIs and associated snapshots
- Unused Elastic IPs
**Networking**
- Unused Elastic Load Balancers
- Unused NAT Gateways
- Orphaned ENIs
## Cleanup Scripts
### Safe Cleanup (Dry-Run First)
```bash
#!/bin/bash
# cleanup-unused-ebs.sh
echo "Finding unattached EBS volumes..."
VOLUMES=$(aws ec2 describe-volumes \
--filters Name=status,Values=available \
--query 'Volumes[*].VolumeId' \
--output text)
for vol in $VOLUMES; do
echo "Would delete: $vol"
# Uncomment to actually delete:
# aws ec2 delete-volume --volume-id $vol
done
```
```bash
#!/bin/bash
# cleanup-old-snapshots.sh
CUTOFF_DATE=$(date -d '90 days ago' --iso-8601)
aws ec2 describe-snapshots --owner-ids self \
--query "Snapshots[?StartTime<='$CUTOFF_DATE'].[SnapshotId,StartTime,VolumeSize]" \
--output text | while read snap_id start_time size; do
echo "Snapshot: $snap_id (Created: $start_time, Size: ${size}GB)"
# Uncomment to delete:
# aws ec2 delete-snapshot --snapshot-id $snap_id
done
```
```bash
#!/bin/bash
# release-unused-eips.sh
aws ec2 describe-addresses \
--query 'Addresses[?AssociationId==null].[AllocationId,PublicIp]' \
--output text | while read alloc_id public_ip; do
echo "Would release: $public_ip ($alloc_id)"
# Uncomment to release:
# aws ec2 release-address --allocation-id $alloc_id
done
```
### S3 Lifecycle Automation
```bash
# Apply lifecycle policy to transition old objects to cheaper storage
cat > lifecycle-policy.json <<EOF
{
"Rules": [
{
"Id": "Archive old objects",
"Status": "Enabled",
"Transitions": [
{
"Days": 90,
"StorageClass": "STANDARD_IA"
},
{
"Days": 180,
"StorageClass": "GLACIER"
}
],
"NoncurrentVersionExpiration": {
"NoncurrentDays": 30
},
"AbortIncompleteMultipartUpload": {
"DaysAfterInitiation": 7
}
}
]
}
EOF
aws s3api put-bucket-lifecycle-configuration \
--bucket my-bucket \
--lifecycle-configuration file://lifecycle-policy.json
```
## Cost Impact Calculator
```python
#!/usr/bin/env python3
# calculate-savings.py
import boto3
from datetime import datetime, timedelta
ec2 = boto3.client('ec2')
# Calculate EBS volume savings
volumes = ec2.describe_volumes(
Filters=[{'Name': 'status', 'Values': ['available']}]
)
total_size = sum(v['Size'] for v in volumes['Volumes'])
monthly_cost = total_size * 0.10 # $0.10/GB-month for gp3
print(f"Unattached EBS Volumes: {len(volumes['Volumes'])}")
print(f"Total Size: {total_size} GB")
print(f"Monthly Savings: ${monthly_cost:.2f}")
# Calculate Elastic IP savings
addresses = ec2.describe_addresses()
unused = [a for a in addresses['Addresses'] if 'AssociationId' not in a]
eip_cost = len(unused) * 3.65 # $0.005/hour * 730 hours
print(f"\nUnused Elastic IPs: {len(unused)}")
print(f"Monthly Savings: ${eip_cost:.2f}")
print(f"\nTotal Monthly Savings: ${monthly_cost + eip_cost:.2f}")
print(f"Annual Savings: ${(monthly_cost + eip_cost) * 12:.2f}")
```
## Automated Cleanup Lambda
```python
import boto3
from datetime import datetime, timedelta
def lambda_handler(event, context):
ec2 = boto3.client('ec2')
# Delete unattached volumes older than 7 days
volumes = ec2.describe_volumes(
Filters=[{'Name': 'status', 'Values': ['available']}]
)
cutoff = datetime.now() - timedelta(days=7)
deleted = 0
for vol in volumes['Volumes']:
create_time = vol['CreateTime'].replace(tzinfo=None)
if create_time < cutoff:
try:
ec2.delete_volume(VolumeId=vol['VolumeId'])
deleted += 1
print(f"Deleted volume: {vol['VolumeId']}")
except Exception as e:
print(f"Error deleting {vol['VolumeId']}: {e}")
return {
'statusCode': 200,
'body': f'Deleted {deleted} volumes'
}
```
## Cleanup Workflow
1. **Discovery Phase** (Read-only)
- Run all describe commands
- Generate cost impact report
- Review with team
2. **Validation Phase**
- Verify resources are truly unused
- Check for dependencies
- Notify resource owners
3. **Execution Phase** (Dry-run first)
- Run cleanup scripts with dry-run
- Review proposed changes
- Execute actual cleanup
4. **Verification Phase**
- Confirm deletions
- Monitor for issues
- Document savings
## Safety Checklist
- [ ] Run in dry-run mode first
- [ ] Verify resources have no dependencies
- [ ] Check resource tags for ownership
- [ ] Notify stakeholders before deletion
- [ ] Create snapshots of critical data
- [ ] Test in non-production first
- [ ] Have rollback plan ready
- [ ] Document all deletions
## Example Prompts
**Discovery**
- "Find all unused resources and calculate potential savings"
- "Generate a cleanup report for my AWS account"
- "What resources can I safely delete?"
**Execution**
- "Create a script to cleanup unattached EBS volumes"
- "Delete all snapshots older than 90 days"
- "Release unused Elastic IPs"
**Automation**
- "Set up automated cleanup for old snapshots"
- "Create a Lambda function for weekly cleanup"
- "Schedule monthly resource cleanup"
## Integration with AWS Organizations
```bash
# Run cleanup across multiple accounts
for account in $(aws organizations list-accounts \
--query 'Accounts[*].Id' --output text); do
echo "Checking account: $account"
aws ec2 describe-volumes \
--filters Name=status,Values=available \
--profile account-$account
done
```
## Monitoring and Alerts
```bash
# Create CloudWatch alarm for cost anomalies
aws cloudwatch put-metric-alarm \
--alarm-name high-cost-alert \
--alarm-description "Alert when daily cost exceeds threshold" \
--metric-name EstimatedCharges \
--namespace AWS/Billing \
--statistic Maximum \
--period 86400 \
--evaluation-periods 1 \
--threshold 100 \
--comparison-operator GreaterThanThreshold
```
## Best Practices
- Schedule cleanup during maintenance windows
- Always create final snapshots before deletion
- Use resource tags to identify cleanup candidates
- Implement approval workflow for production
- Log all cleanup actions for audit
- Set up cost anomaly detection
- Review cleanup results weekly
## Risk Mitigation
**Medium Risk Actions:**
- Deleting unattached volumes (ensure no planned reattachment)
- Removing old snapshots (verify no compliance requirements)
- Releasing Elastic IPs (check DNS records)
**Always:**
- Maintain 30-day backup retention
- Use AWS Backup for critical resources
- Test restore procedures
- Document cleanup decisions
## Kiro CLI Integration
```bash
# Analyze and cleanup in one command
kiro-cli chat "Use aws-cost-cleanup to find and remove unused resources"
# Generate cleanup script
kiro-cli chat "Create a safe cleanup script for my AWS account"
# Schedule automated cleanup
kiro-cli chat "Set up weekly automated cleanup using aws-cost-cleanup"
```
## Additional Resources
- [AWS Resource Cleanup Best Practices](https://aws.amazon.com/blogs/mt/automate-resource-cleanup/)
- [AWS Systems Manager Automation](https://docs.aws.amazon.com/systems-manager/latest/userguide/systems-manager-automation.html)
- [AWS Config Rules for Compliance](https://docs.aws.amazon.com/config/latest/developerguide/managed-rules-by-aws-config.html)
## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, tesRelated in Cloud & DevOps
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