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> 5 Quick Wins for AWS Cost Optimization

Practical strategies to reduce your AWS bill without sacrificing performance or reliability.

#aws #cost-optimization #cloud

After years of helping teams optimize their AWS infrastructure, I’ve noticed the same patterns over and over. Here are five quick wins that can make a significant impact on your bill.

1. Right-Size Your EC2 Instances

This is the low-hanging fruit. Most teams over-provision their instances “just in case.”

Use AWS Compute Optimizer or check CloudWatch metrics for CPU and memory utilization. If you’re consistently below 40% utilization, you’re probably paying for capacity you don’t need.

# Quick check for underutilized instances
aws cloudwatch get-metric-statistics \
  --namespace AWS/EC2 \
  --metric-name CPUUtilization \
  --dimensions Name=InstanceId,Value=i-xxxxx \
  --start-time 2025-12-01T00:00:00Z \
  --end-time 2025-12-28T00:00:00Z \
  --period 86400 \
  --statistics Average

2. Clean Up Unattached EBS Volumes

Orphaned EBS volumes are sneaky cost accumulators. When you terminate an instance, the volumes often stick around.

# Find unattached volumes
aws ec2 describe-volumes \
  --filters Name=status,Values=available \
  --query 'Volumes[*].{ID:VolumeId,Size:Size,Type:VolumeType}'

3. Use Spot Instances for Fault-Tolerant Workloads

Spot instances can save you up to 90% compared to on-demand pricing. They’re perfect for:

  • CI/CD workers
  • Batch processing jobs
  • Development environments
  • Stateless application tiers

4. Review Your Data Transfer Costs

Data transfer fees can be brutal. Some quick fixes:

  • Use VPC endpoints for AWS services (S3, DynamoDB, etc.)
  • Enable S3 Transfer Acceleration only when needed
  • Compress data before transfer
  • Use CloudFront for frequently accessed content

5. Set Up Cost Allocation Tags

You can’t optimize what you can’t measure. Implement a consistent tagging strategy:

Required Tags:
  - Environment: prod/staging/dev
  - Team: engineering/data/platform
  - Project: project-name
  - CostCenter: cost-center-id

Then use AWS Cost Explorer to identify which teams or projects are driving costs.

Bonus: Schedule Non-Production Resources

Don’t run dev/staging environments 24/7. Use AWS Instance Scheduler or a simple Lambda function to stop resources outside business hours.

That alone can cut your non-prod costs by 65% or more.

Need help implementing these optimizations? Let’s talk.

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