10 Proven AWS Cost Optimization Strategies

By Muh Ridwan Sukri

Learn 10 proven AWS cost optimization strategies—from right-sizing and Savings Plans to lifecycle policies and tagging—to reduce your cloud spend by up to 40%.

Server Infrastructure Illustration

Managing AWS costs is a continuous journey. Without disciplined governance, cloud bills can skyrocket. This guide walks through ten tactical strategies—backed by real-world results—that collectively enabled a 40% monthly cost reduction while preserving performance and reliability.

Large enterprises and startups alike face unpredictable workloads, data-transfer fees, and idle resources. The AWS Cost Optimization pillar of the Well-Architected Framework emphasizes four areas: cost-effective resources, matching supply with demand, optimizing over time, and expenditure awareness. These ten strategies map directly to those areas.

1. Right-Sizing EC2 Instances

Ensure instances align with actual CPU, memory, and I/O needs.

# Use AWS CLI to retrieve CPU utilization
aws cloudwatch get-metric-statistics \
--namespace AWS/EC2 \
--metric-name CPUUtilization \
--dimensions Name=InstanceId,Value=i-0123456789abcdef0 \
--start-time 2025-01-01T00:00:00Z \
--end-time   2025-01-07T00:00:00Z \
--period      3600 \
--statistics Average

Average CPU Utilization in CloudWatch

2. Leverage Reserved Instances and Savings Plans

For predictable workloads, Reserved Instances (RIs) and Savings Plans can provide up to 72% discount compared to on-demand pricing.

Best Practices:

  • Analyze 6 months of spend with Cost Explorer.
  • Start with convertible 1-year RIs, then mix 3-year Standard RIs for stable workloads.
  • Add Compute Savings Plans for dynamic needs.

3. Auto-Scaling Deployment

Use target tracking policies to maintain performance at minimal cost:

# Example Auto-Scaling Policy
ScalingPolicy:
  TargetValue: 70.0
  MetricType: CPUUtilization
  ScaleInCooldown: 300
  ScaleOutCooldown: 60

4. Use Spot Instances for Fault-Tolerant Workloads

Spot instances can save up to 90% for appropriate workloads like:

  • Batch processing
  • CI/CD pipelines
  • Big data analytics
  • Stateless web applications

5. Storage Lifecycle Policies

Configure S3 transitions and expirations:

  • Standard → Standard-IA after 30 days
  • Standard-IA → Glacier after 90 days
  • Expire objects after 365 days

AWS S3 Lifecycle configuration

6. Cleanup Unused Resources

Automate daily audits via AWS Config rules:

  • Terminate idle EC2s
  • Delete unattached EBS volumes and obsolete snapshots
  • Reclaim unused Elastic IPs and load balancers

7. Adopt Lambda for Event-Driven Workloads

Switch always-on microservices to serverless functions to benefit from per-millisecond billing and free tiers.

8. Implement a Robust Tagging Strategy

Tags enable granular cost allocation. Enforce tagging policies with AWS Organizations SCPs and AWS Config.

9. Cost Anomaly Detection & Budget Alerts

Use AWS Cost Anomaly Detection to trigger Amazon SNS alerts for unusual spend spikes. Pair with AWS Budgets for threshold notifications.

10. Consider Multi-Region Optimization

Different regions have different pricing:

  • US East (N. Virginia) is often cheapest
  • Consider data transfer costs
  • Balance between cost and latency requirements

Real-World Results

After implementing these strategies in a recent project:

  • 40% reduction in monthly AWS bills
  • Improved performance through right-sizing
  • Better visibility into cost drivers
  • Automated cost management processes

Conclusion

Cost optimization is ongoing, not one-and-done. Begin with the highest-impact tactics—right-sizing, RIs/Savings Plans, and automated cleanup—then layer in storage policies, tagging, and anomaly detection. Visual dashboards and regular reviews will sustain and amplify savings over time.

  1. AWS Well-Architected Framework Cost Optimization pillar
  2. AWS Cost Explorer
Ridwan Sukri

© 2025 Muh Ridwan Sukri. All rights reserved.

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