Eliminate cloud infrastructure waste, rightsize overprovisioned workloads, and establish reproducible cost governance without compromising system performance or reliability.

Backed by production outcomes documented in our linked case studies (including cutting AdvantageMLS's annual Google Cloud Platform spend by $45,000+), we execute a targeted 2-week engineering sprint analyzing p99 utilization metrics, eliminating idle resources, and optimizing data egress.

Architectural Rightsizing: We do not merely cut instance sizes blindly; we analyze real-world p99 CPU, memory, and disk IOPS utilization to rightsize machine families safely.

Network Egress Optimization: Network data transfer between cloud zones, regions, and to the public internet is often an invisible financial drain. We redesign CDN edge rules and internal routing to slash egress fees.

Declarative OpenTofu IaC Baseline: Ensure cost savings remain permanent by codifying the optimized infrastructure in clean, modular OpenTofu/Terraform modules with automated drift detection.

Targeted Savings Goals: We establish concrete, data-backed savings targets during the initial audit phase based on actual historical utilization, rather than generic projections.

Comprehensive Cloud Spend & Resource Audit: Complete billing breakdown identifying orphaned disks, unreferenced snapshots, idle load balancers, and unused IPs.

Prioritized Savings Opportunity Matrix: Data-backed roadmap itemizing immediate low-risk reductions and architectural optimizations with projected ROI.

CDN Edge & Workload Optimization: Implemented cache rules, storage lifecycle policies, and compute rightsizing across staging and production environments.

Modular OpenTofu IaC Repository: Clean, drift-controlled OpenTofu modules codifying the optimized infrastructure with automated budget alerting policies.

Executive Financial Handover Report: Comparative before-and-after burn-rate report, runbook documentation, and 45-minute leadership debrief.