AWS Cost Optimization: 15 Proven Strategies That Save Millions
AWS is powerful, flexible, and expensive. Most companies overspend on AWS by 50-80% due to inefficient resource usage, lack of optimization, and poor cost visibility. Here are 15 battle-tested strategies that have helped our customers save over $50M in AWS costs.
Quick Wins (Implement in 1 Week)
1. Remove Unused Resources
Unused EBS volumes, elastic IPs, load balancers, and snapshots accumulate over time. A single audit can often identify $5,000-$10,000 in monthly savings from removing zombie resources.
2. Right-Size EC2 Instances
Most EC2 instances are oversized by 40-60%. Use CloudWatch metrics to identify instances with consistently low CPU/memory utilization and downsize them.
3. Implement Reserved Instances
For predictable workloads, Reserved Instances offer 40-60% savings compared to on-demand pricing. Start with 1-year Standard RIs for your baseline capacity.
Quick Win Impact
These three strategies alone typically reduce AWS costs by 25-35%
Advanced Strategies (2-4 Weeks Implementation)
4. Leverage Spot Instances
Spot instances offer 60-90% savings for fault-tolerant workloads like batch processing, CI/CD, and containerized applications. Implement spot instance automation for maximum savings with minimal risk.
5. Optimize S3 Storage Classes
Implement S3 Intelligent-Tiering or lifecycle policies to automatically move objects to cheaper storage classes. This can reduce storage costs by 50-70% for infrequently accessed data.
6. Implement Auto-Scaling
Properly configured auto-scaling ensures you only pay for capacity when needed. This is especially effective for applications with variable traffic patterns.
Enterprise Optimizations
7. Savings Plans
Compute Savings Plans provide flexibility across instance families and regions while offering similar discounts to Reserved Instances. Ideal for dynamic workloads.
8. RDS Optimization
Right-size RDS instances, implement read replicas strategically, and consider Aurora Serverless for variable workloads. RDS often represents 20-30% of total AWS costs.
9. Data Transfer Optimization
Data transfer costs are often overlooked but can represent 10-15% of your AWS bill. Use VPC endpoints, CloudFront caching, and regional optimization to reduce transfer costs.
Continuous Optimization
10. Cost Allocation Tags
Implement comprehensive tagging to track costs by team, project, or environment. This visibility drives cost-conscious behavior across the organization.
- 11. Lambda Optimization: Right-size memory, use ARM processors, implement caching
- 12. CloudWatch Optimization: Reduce log retention, use metric filters strategically
- 13. NAT Gateway Alternatives: Use VPC endpoints and private links to reduce NAT costs
- 14. EBS Optimization: Right-size volumes, use gp3 instead of gp2, implement snapshots lifecycle
- 15. AI-Powered Continuous Optimization: Use automation to continuously monitor and optimize