1. Right-Size Your EC2 Instances
One of the most common sources of waste is over-provisioned EC2 instances. Use AWS Compute Optimizer to analyze your usage patterns and identify instances that are consistently underutilized.
Potential Savings: 20-40% on compute costs
2. Leverage Reserved Instances and Savings Plans
For predictable workloads, commit to 1 or 3-year terms with Reserved Instances or Savings Plans. This can reduce costs by up to 72% compared to On-Demand pricing.
Potential Savings: 30-72% on committed workloads
3. Implement Auto-Scaling
Configure Auto Scaling groups to automatically adjust capacity based on demand. This ensures you're only paying for resources when you need them.
Potential Savings: 15-30% on variable workloads
4. Use Spot Instances for Fault-Tolerant Workloads
Spot Instances can save up to 90% compared to On-Demand prices. Perfect for batch processing, data analysis, and containerized workloads.
Potential Savings: 50-90% on compatible workloads
5. Optimize S3 Storage with Lifecycle Policies
Implement S3 Intelligent-Tiering and lifecycle policies to automatically move data to cheaper storage classes as it ages.
Potential Savings: 40-70% on storage costs
6. Delete Unused Resources
Regularly audit and remove unused EBS volumes, snapshots, elastic IPs, and load balancers. These "zombie" resources can add up quickly.
Potential Savings: 10-20% on overall costs
7. Use AWS Cost Explorer and Budgets
Set up cost anomaly detection and budget alerts to catch unexpected spending before it becomes a problem.
Potential Savings: Prevents cost overruns
8. Optimize Data Transfer Costs
Use CloudFront CDN, VPC endpoints, and AWS PrivateLink to reduce data transfer costs between services and regions.
Potential Savings: 20-40% on data transfer
9. Implement Tagging Strategy
Use comprehensive tagging to track costs by project, team, or environment. This enables better cost allocation and accountability.
Potential Savings: Enables targeted optimization
10. Consider Graviton Processors
AWS Graviton2/3 instances offer up to 40% better price-performance compared to x86-based instances for many workloads.
Potential Savings: 20-40% on compatible workloads
Conclusion
Implementing these 10 strategies can help you achieve significant cost savings on your AWS bill. The key is to start with quick wins like deleting unused resources, then move to more strategic optimizations like Reserved Instances and architectural improvements.
Need help implementing these strategies? Our team of AWS-certified experts can conduct a comprehensive cost optimization review and help you achieve 40% or more in savings.