20 AWS Cost Saving Tricks: Save Hundreds on Your AWS Bill.

Cloud computing makes it easy to launch applications in minutes but it’s just as easy to end up with an unexpectedly high monthly bill. AWS offers flexibility, scalability, and a pay-as-you-go pricing model, but without proper cost management, resources can accumulate and expenses can grow quickly.

Whether you’re a developer, startup founder, DevOps engineer, or cloud architect, learning a few cost-saving techniques can significantly reduce your AWS bill without sacrificing performance.

In this guide, you’ll discover 20 practical AWS cost-saving tricks that organizations use to optimize cloud spending.

1. Right-Size Your EC2 Instances

Many workloads run on instances that are larger than necessary.

For example, a development server running on a t3.large may only utilize 10–15% of its CPU.

Use:

1. Amazon CloudWatch metrics
2. AWS Compute Optimizer
3. CPU and memory utilization reports

If an instance consistently has low utilization, consider moving to a smaller instance type.

Savings can range from 20–70% depending on the workload.

2. Stop Idle EC2 Instances

Development and testing servers often remain running overnight or on weekends.

Instead of keeping them powered on:

1. Stop them after business hours.
2. Start them automatically each morning.

You pay for storage while stopped, but compute charges stop.

Automation can be implemented using:

1. EventBridge
2. Lambda
3. Systems Manager Automation

3. Purchase Savings Plans

If your workloads run continuously, avoid paying On-Demand pricing.

AWS Savings Plans can reduce compute costs by:

1. Up to 72% compared to On-Demand pricing.

Suitable for:

1. EC2
2. Lambda
3. Fargate

Choose:

1. 1-year commitment
2. 3-year commitment

4. Use Reserved Instances

Reserved Instances work well for predictable workloads like:

1. Databases
2. Production web servers
3. Backend APIs

Compared to On-Demand pricing, Reserved Instances can significantly reduce long-term compute costs.

5. Use Spot Instances

Spot Instances use AWS’s spare compute capacity.

Savings can reach:

1. Up to 90%

Ideal workloads include:

1. Batch processing
2. Machine learning training
3. CI/CD pipelines
4. Data processing
5. Rendering jobs

Avoid Spot Instances for applications that cannot tolerate interruptions.

6. Enable Auto Scaling

Many applications don’t require maximum capacity all day.

Auto Scaling adjusts the number of instances based on:

1. CPU utilization
2. Requests
3. Network traffic
4. Custom metrics

Instead of running ten servers all day, you might only need:

1. Three during normal traffic
2. Eight during peak periods

7. Delete Unused EBS Volumes

Detached EBS volumes continue to incur storage charges.

Common examples include:

1. Old development disks
2. Forgotten backups
3. Unattached volumes

Regularly identify and remove unused storage.

8. Choose the Right EBS Volume Type

Different workloads require different storage performance.

Examples include:

1. gp3
2. io2
3. st1
4. sc1

Many applications use expensive SSD storage even when standard storage would meet their needs.

Choosing the appropriate volume type can lower storage costs.

9. Use S3 Lifecycle Policies

Not every file needs to remain in standard storage forever.

Automatically move older files to lower-cost storage classes:

1. Standard-IA
2. Glacier Instant Retrieval
3. Glacier Flexible Retrieval
4. Glacier Deep Archive

Lifecycle rules help automate these transitions.

10. Delete Unused S3 Objects

Many buckets accumulate:

1. Old log files
2. Duplicate uploads
3. Temporary exports
4. Outdated backups

Regular cleanup reduces storage costs and improves organization.

11. Compress Files Before Uploading

Compressed files consume less storage.

Common formats include:

1. ZIP
2. GZIP
3. Parquet (for analytics)

Smaller files reduce both storage and data transfer costs.

12. Optimize Data Transfer

Data transfer charges can become significant.

Reduce costs by:

1. Using CloudFront for content delivery
2. Keeping services within the same region
3. Minimizing unnecessary cross-region traffic
4. Avoiding excessive internet data transfers

13. Use CloudFront Caching

Serving static assets through CloudFront reduces:

1. Origin server load
2. Data transfer charges
3. Latency

Cache items like:

1. Images
2. CSS
3. JavaScript
4. Videos
5. Downloads

14. Schedule Non-Production Resources

Development environments rarely need to operate 24/7.

Automatically stop:

1. EC2
2. RDS
3. ECS services

Outside working hours.

This simple automation often produces noticeable monthly savings.

15. Monitor Costs with AWS Budgets

Unexpected bills usually result from missing visibility.

Configure AWS Budgets to:

1. Set monthly spending limits
2. Receive email alerts
3. Track service-specific expenses

Monitoring spending early helps prevent surprises.

16. Use Cost Explorer Regularly

AWS Cost Explorer helps answer questions such as:

1. Which service costs the most?
2. Which region is most expensive?
3. How has spending changed over time?
4. Which resources are increasing costs?

Reviewing these reports monthly helps identify optimization opportunities.

17. Remove Unused Elastic IP Addresses

Elastic IP addresses are free only under certain usage conditions.

Charges may apply when:

1. They are allocated but not associated with running resources.
2. Multiple Elastic IPs are reserved unnecessarily.

Release unused addresses to avoid recurring charges.

18. Delete Old Snapshots

Snapshots are valuable for backups, but over time they accumulate.

Review:

1. Old AMIs
2. EBS snapshots
3. Obsolete backups

Retain only those needed for compliance or disaster recovery.

19. Tag Resources

Without proper tagging, identifying cost owners becomes difficult.

Recommended tags include:

1. Project
2. Team
3. Environment
4. Owner
5. Cost Center

Cost allocation tags simplify reporting and accountability.

20. Perform Monthly Cost Reviews

Cost optimization isn’t a one-time activity.

Each month:

1. Review AWS bills
2. Remove unused resources
3. Analyze service usage
4. Check Trusted Advisor recommendations
5. Optimize underutilized infrastructure

Small monthly improvements can compound into substantial annual savings.

Bonus Tips

Consider these additional practices:

1. Prefer serverless architectures for unpredictable workloads.
2. Use Graviton-based instances where compatible for better price-performance.
3. Archive logs instead of keeping them in premium storage indefinitely.
4. Review CloudWatch log retention settings to avoid storing logs longer than necessary.
5. Consolidate accounts and use AWS Organizations where appropriate for centralized cost visibility.

Common AWS Cost Mistakes

Avoid these frequent issues:

1. Leaving EC2 instances running after testing.
2. Forgetting unattached EBS volumes.
3. Never cleaning S3 buckets.
4. Running oversized databases.
5. Ignoring billing alerts.
6. Keeping snapshots indefinitely.
7. Choosing premium storage without a performance requirement.
8. Not reviewing monthly cost reports.

Final Thoughts

Reducing AWS costs isn’t about using fewer cloud services it’s about using them efficiently. By applying these 20 strategies, you can optimize resource usage, improve operational visibility, and avoid paying for infrastructure you don’t need.

Start with the simplest improvements, such as stopping idle resources, deleting unused storage, and enabling cost monitoring. Then move on to longer-term optimizations like Savings Plans, Auto Scaling, and lifecycle policies.

Cloud cost optimization is an ongoing process. Regular reviews, automation, and informed architectural decisions can lead to significant savings while maintaining the performance and reliability your applications require.