Cloud costs creep up quietly. One client’s AWS bill had grown to roughly $40,000 a month. Without changing a single line of application code, we brought it down to about $22,000 — a 45% cut. Here’s exactly how.
1. Right-size everything
Most instances were provisioned for a peak that never came. CloudWatch showed CPU and memory sitting idle. Right-sizing EC2 and RDS instances alone saved thousands per month.
2. Commit with Savings Plans
For steady baseline workloads, one-year Savings Plans and Reserved capacity cut on-demand rates significantly with no real downside.
3. Kill idle and orphaned resources
- Unattached EBS volumes and forgotten snapshots
- Idle load balancers and unused Elastic IPs
- Dev and staging environments that ran 24/7 — now auto-stopped nights and weekends
4. Tier and lifecycle S3 storage
Moving cold data to S3 Infrequent Access and Glacier, with automated lifecycle rules, slashed storage costs without losing anything.
5. Autoscaling that actually scales down
Scaling up is easy; scaling down is where the savings live. We tuned policies to release capacity the moment traffic drops.
The takeaway
Cloud savings rarely require rewrites — just visibility, governance, and a few well-chosen changes. We added budgets, alerts, and tagging so costs stay under control going forward.
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