# How We Reduced AWS Bill by 35%: A Real-World Cost Optimization Case Study
Introduction
Cloud costs can spiral out of control if not managed properly. In this case study, we'll walk through the exact steps we took to reduce our AWS bill by 35% over three months, saving thousands of dollars annually.
The Challenge
Our client was running multiple production workloads on AWS, and their monthly bill had grown to over $15,000. They needed to optimize costs without impacting performance or reliability.
Our Approach
1. Cost Analysis and Right-Sizing
We started by analyzing their current infrastructure: - Identified over-provisioned EC2 instances - Found unused EBS volumes and snapshots - Discovered idle RDS instances running 24/7
Action Items: - Downsized instances based on actual usage metrics - Implemented auto-scaling groups with appropriate min/max values - Switched to appropriate instance families (e.g., t3 instead of m5 where applicable)2. Reserved Instances Strategy
We implemented a strategic Reserved Instance (RI) purchase: - Analyzed 12 months of usage patterns - Purchased 1-year Standard RIs for predictable workloads - Used Convertible RIs for flexibility
Savings: 30-40% discount on compute costs3. Spot Instances for Non-Critical Workloads
For development, testing, and batch processing: - Migrated non-production environments to Spot Instances - Implemented Spot Fleet for automatic instance replacement - Saved 60-70% on compute costs for these workloads
4. Storage Optimization
- Implemented S3 lifecycle policies - Moved infrequently accessed data to Glacier - Cleaned up old snapshots and unused EBS volumes - Enabled S3 Intelligent-Tiering
5. Monitoring and Automation
- Set up AWS Cost Explorer alerts - Implemented automated cost anomaly detection - Created weekly cost reports for stakeholders
Results
After three months of optimization: - 35% reduction in monthly AWS costs - No performance degradation - actually improved in some areas - Better resource utilization - from 40% to 75% average - Automated cost monitoring prevents future cost creep
Key Takeaways
1. Regular cost audits are essential 2. Right-sizing is more important than you think 3. Reserved Instances can provide significant savings 4. Automation prevents cost drift 5. Cost optimization is an ongoing process
Tools We Used
- AWS Cost Explorer - AWS Trusted Advisor - CloudHealth (now VMware CloudHealth) - Custom scripts for resource analysis
Conclusion
Cost optimization doesn't mean cutting corners. With the right strategy and tools, you can significantly reduce cloud costs while maintaining or improving performance. The key is to start with a thorough analysis and implement changes incrementally.
*Want to optimize your cloud costs? [Contact us](/schedule-appointment) for a free consultation.*