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Cloud Architecture7 min readApril 2, 2024

AWS Cost Optimization: 15 Ways to Cut Your Cloud Bill by 40%

Practical strategies to reduce your AWS spend without sacrificing performance. Reserved instances, right-sizing, spot instances, and architectural patterns that save money.

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Firas Sayah
Founder & Principal Engineer
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Why Cloud Bills Spiral Out of Control

Most companies overspend on AWS by 30-40%. The problem isn't the cloud—it's that nobody optimizes after the initial setup. Here are 15 proven strategies to cut costs.

Quick Wins (Implement This Week)

1. Delete Unused Resources

Run this audit monthly:

  • Unattached EBS volumes
  • Old EBS snapshots
  • Unused Elastic IPs
  • Idle load balancers
  • Stopped but not terminated EC2 instances

2. Right-Size Instances

Use AWS Compute Optimizer or check CloudWatch metrics:

  • CPU utilization under 20%? Downsize.
  • Memory barely used? Switch instance family.
  • Review every 3 months as usage patterns change.

3. Use S3 Lifecycle Policies

// Move to cheaper storage automatically
- After 30 days: Move to S3 Standard-IA (40% cheaper)
- After 90 days: Move to S3 Glacier (80% cheaper)
- After 365 days: Delete or move to Deep Archive

Medium-Term Strategies

4. Reserved Instances / Savings Plans

For predictable workloads, commit for 1-3 years:

  • 1-year no upfront: ~30% savings
  • 3-year all upfront: ~60% savings
  • Start with 1-year commitments until you understand patterns

5. Spot Instances for Batch Jobs

70-90% savings for interruptible workloads:

  • Data processing pipelines
  • CI/CD runners
  • Development environments
  • Test environments

6. Auto Scaling That Actually Works

Don't just set min/max—configure based on metrics:

  • Scale on queue depth, not just CPU
  • Set cool-down periods to prevent thrashing
  • Use predictive scaling for known patterns

Architectural Changes

7. Move to ARM (Graviton)

20-40% cost reduction with better performance for many workloads.

8. Serverless for Variable Workloads

Lambda + API Gateway can be 10x cheaper than EC2 for APIs with variable traffic.

9. Data Transfer Optimization

  • Use VPC endpoints instead of NAT gateway
  • Enable CloudFront caching
  • Compress data before transfer
  • Use regional services to avoid cross-region costs

10. Database Optimization

  • RDS Reserved Instances for production
  • Aurora Serverless for dev/staging
  • Read replicas only when needed
  • Right-size RDS instances quarterly

Want a professional audit of your AWS costs? We typically find 35-50% savings.

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Firas Sayah

Founder & Principal Engineer

Senior engineer at Cloudrix with expertise in cloud architecture and software development. Passionate about building scalable systems and sharing knowledge.

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