Cloud Cost Optimization
Cut cloud spend without cutting performance. FinOps practices, rightsizing, and commitment strategy with engineering buy-in.
Overview
Cloud waste compounds quietly. Idle dev environments, orphaned volumes, over-provisioned databases, and committed capacity that no longer matches workload shape — none of it triggers an alert. It just shows up on the bill.
We treat cost optimization as an engineering discipline, not a finance exercise. Engineers see the cost of what they ship, with the same fidelity they see latency and error rate. Commitments are sized to the roadmap, not to last year’s run-rate. And the easy wins — orphaned resources, storage tier mismatches, data egress patterns — get cleaned up first, before anyone touches a savings plan.
Typical first-year savings range from 15% to 35% of cloud spend, with the larger numbers coming from architectural changes, not just discounting.