AWS cost optimization on a pay-for-savings model. Lambda, EC2, S3, RDS, NAT gateway, data transfer. 30-90% reduction in 30-60 days. No upfront fee.
AWS cost optimization attacks the seven lines that swell every AWS bill: over-provisioned EC2 and RDS, untiered S3 storage, runaway data-transfer (cross-AZ, NAT gateway, internet egress), unsampled CloudWatch logs, Lambda invocation loops, idle Fargate tasks, and unused Reserved Instances or Savings Plans. A focused engagement audits all seven in week one, implements the cuts in weeks two through six, and verifies the reduction on the monthly invoice.
Week 1 — free AWS audit. Read-only access to Cost Explorer and billing console, 60-minute kickoff, ranked written report.
Weeks 2-6 — implementation. Pull-request engineering. Rightsizing, lifecycle policies, reservations, NAT gateway alternatives, observability sampling.
Months 2-3 — verified savings. Side-by-side AWS billing dashboards comparing pre- and post-engagement spend. Pay only after reduction lands on invoice.
30-90% depending on infrastructure maturity. Greenfield AWS shops without cost discipline see the largest cuts. Mature AWS-native teams with existing FinOps see 15-30%. The free audit gives the realistic number before commitment.
EC2, Lambda, Fargate, ECS, EKS, S3, RDS, Aurora, DynamoDB, CloudWatch, NAT Gateway, Data Transfer, ElastiCache, OpenSearch, Reserved Instances and Compute Savings Plans. Most engagements cover 5-8 services in parallel.
No. I model the break-even and recommend the term and scope. Your team signs the commitment from your own AWS account. I never have purchase authority.
You keep the written audit report and pay nothing. Pay-for-savings means the fee is a fraction of the reduction produced. Zero reduction equals zero fee.
No. Most engagements span AWS plus GCP, Azure, BigQuery, Datadog, MongoDB and Cloudflare. AWS is usually the largest line but waste hides in the boundaries between clouds too.