AWS cost optimization is the process of reducing cloud spend while maintaining performance — by removing waste, right-sizing resources, and choosing the right pricing models. FinOps is the discipline around it: continuous monitoring, clear ownership, and treating cost as an engineering metric like latency or error rate.
What is AWS cost optimization? — AWS cost optimization is the process of reducing AWS cloud spend while maintaining performance and reliability. It combines removing waste, right-sizing resources, and committing to stable usage through Savings Plans or Reserved Instances.
How much can AWS cost optimization save? — A first structured FinOps cycle on a mature AWS account typically reduces the monthly bill by 15–25%. Most teams that have never run a structured FinOps program have similar low-hanging fruit available — primarily in CloudWatch ingestion, idle resources, and uncommitted compute.
What is the difference between FinOps and AWS cost optimization? — AWS cost optimization is the technical work — right-sizing, commitments, architectural changes. FinOps is the operating model around it: monthly bill reviews, team-level cost ownership, and continuous monitoring that ensures savings stick over time.
Should I buy Savings Plans or Reserved Instances first? — Start with a Compute Savings Plan because it covers Lambda, ECS/Fargate, and EC2 with one flexible commitment across instance family, size, OS, and region. Layer RDS Reserved Instances on top for stable database workloads.
Is serverless always cheaper than EC2? — No. Serverless is cheaper for low or spiky workloads because it scales to zero. At sustained high scale, Lambda plus its surrounding services (CloudWatch, NAT, data transfer) can exceed equivalent containerized workloads. Cost depends on traffic pattern, not technology.
Orel Bello — Senior DevOps & Platform Engineer