AWS cost optimization checklist

Cloud costs can be one of the fastest-growing line items if left unchecked. Cost optimization on AWS is not a one-off cleanup but a continuous practice that must be embedded in both architecture and culture. Below is a practical checklist to lower your bill without sacrificing performance.

Visibility first: tagging and reporting

You cannot optimize what you cannot see. Use a consistent tagging strategy to break costs down by team, project and environment. Catch anomalies early with Cost Explorer and budget alerts.

Right-sizing

The most common waste is oversized resources. Adjust instance and database sizes to real load by looking at CPU, memory and network metrics. In most environments this single step yields 20-30% savings.

The right purchasing model

For steady workloads, On-Demand pricing is the most expensive option:

• Savings Plans and Reserved Instances: significant discounts for predictable, continuous loads
• Spot Instances: large savings for interruption-tolerant, flexible workloads (batch, CI, stateless jobs)
• On-Demand: only for variable and unpredictable loads

Storage tiering

Keeping all data in the most expensive tier is unnecessary. Use S3 lifecycle rules to move rarely accessed data to Infrequent Access or Glacier tiers. Regularly clean up unused EBS volumes and old snapshots.

Automated shutdown and scaling

Test and development environments don't need to run overnight and on weekends. With scheduled start/stop automation and demand-based auto scaling, you pay only for the capacity you need.

Architectural decisions

The most durable savings come from architecture. Managed services (e.g. serverless approaches), region/architecture choices that reduce unnecessary data-transfer costs, and caching lower both cost and operational burden.

Checklist

• Are tagging and cost reports in place?
• Is right-sizing done regularly?
• Is Savings Plan/RI coverage sufficient?
• Are storage lifecycle rules active?
• Do test environments shut down after hours?

Conclusion

Cost optimization becomes sustainable through disciplined measurement and regular review. Fenixel continuously optimizes your AWS environment with a FinOps approach — cutting wasted spend without compromising performance or security.