Cloud Costs Under Control: A Practical Checklist for Growing Products
Cloud bills grow faster than usage when nobody owns them. The architecture, observability and process changes that keep AWS, Azure and Google Cloud spending proportional to the business.
By David Kukharchuk
Tech Lead at Mirko
Where the money goes
In most products we audit, three things dominate the bill: oversized compute that never scales down, storage that is never cleaned up and data transfer nobody planned for. None of them require a new platform to fix.
The checklist
Quick wins first
- Right-size instances and enable autoscaling with real minimums.
- Set lifecycle rules on object storage and delete orphaned volumes and snapshots.
- Cache aggressively and keep traffic inside one region where possible.
- Tag every resource by product and environment, then review the report monthly.
- Use reserved or committed capacity only for the baseline you can prove.
Observability is a cost tool
Monitoring, structured logs and error tracking are usually sold as reliability. They are also how you see which workload costs what. Teams that can attribute spend to a feature make better product decisions than teams looking at one invoice.
Reliability for business-critical data still comes first: backups, recovery flows and access control are not where to save. The goal is spending that scales with the business, not the smallest possible bill.
