'/%3e%3ccircle%20cx='98'%20cy='41'%20r='9'%20fill='%2322D3EE'/%3e%3c/svg%3e){kind=small}
'/%3e%3cellipse%20cx='520'%20cy='260'%20rx='360'%20ry='132'%20stroke='%238B93B0'%20stroke-opacity='0.18'%20stroke-width='1'%20transform='rotate(-16%20520%20260)'/%3e%3ccircle%20cx='520'%20cy='260'%20r='46'%20fill='%23111A38'%20stroke='%2322D3EE'%20stroke-opacity='0.35'/%3e%3ccircle%20cx='920'%20cy='80'%20r='6'%20fill='%2322D3EE'/%3e%3c/svg%3e)
The AWS bill, cut roughly in half
Challenge
A growing e-commerce platform's AWS spend was outpacing its traffic. Over-provisioned instances, always-on non-production environments, and un-tiered storage had never been examined against what the workload actually needed.
Approach
We ran a cost-architecture review across compute, storage, and data transfer, then acted on it: right-sized ECS tasks and RDS to real utilization, moved steady workloads onto Savings Plans and bursty ones onto Spot capacity, applied S3 lifecycle tiering to cold data, and scheduled non-production environments to shut down outside working hours. Spend now sits on a dashboard with budget alerts so it stays visible instead of drifting.
Architecture
Cost & usage review → right-sizing → Savings Plans / Spot → S3 lifecycle tiering → non-prod scheduling → cost dashboard + alerts
AWS ECS · RDS · S3 · Cost Explorer · CloudWatch — Savings Plans, Spot capacity, storage lifecycle tiering
Results
- Monthly AWS spend cut roughly in half after right-sizing and purchasing changes*
- Non-production environments scheduled off outside working hours
- Spend tracked on a dashboard with budget alerts
* Illustrative figure from a representative engagement, shown to convey typical scope. Replaced with client-verified numbers before publication.