// Case studies
AWS cost optimization, 38% spend reduction without performance loss
Reserved instances, Graviton migration, and S3 lifecycle policies right-sized a Series A data platform bill.
By Simplileap · Published April 12, 2025 · 8 min read
A Series A data analytics platform, $42k monthly AWS, faced runway pressure. Engineering feared optimization meant throttling queries. Finance wanted savings inside one quarter.
Assessment: 34% on-demand EC2 with flat utilization; oversized RDS; CloudWatch log retention infinite; cross-AZ data transfer unmonitored; dev/staging running 24/7.
Actions: Compute Optimizer recommendations; one-year reserved for baseline; m5 → m7g Graviton on stateless workers after ARM compatibility test; S3 Intelligent-Tiering; log retention 30 days with export to S3 Glacier for compliance; Instance Scheduler on non-prod.
Problems: one legacy Java dependency blocked Graviton on two nodes, kept m5 reserved pair; CFO wanted showback per team, Cost Allocation Tags enforced via SCP.
Outcome: monthly bill $42k → $26k (-38%); query p95 unchanged within 3% margin. Platform anonymized, analytics SaaS.
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