Cost Optimization Posts

Database costs are the second largest line item on most AWS bills I review, right behind compute. The problem is that RDS and Aurora pricing has enough moving parts to keep teams overspending for years without realizing it. Instance hours, storage, I/O operations, backup retention, snapshots, data transfer, Extended Support surcharges. Each component has its own optimization lever, and most teams only pull one or two of them. After years of running production databases on AWS and auditing bills across dozens of accounts, I have a reliable playbook for cutting RDS and Aurora spend by 40-65% without sacrificing availability or performance. This article lays out that playbook: every strategy, the math behind it, and the operational tradeoffs you need to understand before applying each one.

NAT Gateway costs are the silent budget killer in multi-account AWS environments. I've audited organizations spending $15,000/month on NAT Gateway data processing alone, spread across dozens of VPCs, each with its own pair of NAT Gateways. When I showed them they could cut that by 40-70% with a centralized egress VPC and Transit Gateway, the conversation shifted fast. The architecture is straightforward. The cost math requires attention. The routing setup has genuine gotchas that will break production if you get them wrong.

S3 is the most used service on AWS and, for many organizations, the single largest line item on the bill after compute. The insidious thing about S3 costs is that they creep. Nobody notices when a bucket grows from 10 TB to 50 TB over six months because the data is "just sitting there." Then the bill arrives and the storage line has tripled. I have audited AWS accounts where S3 spending dropped 60-70% after a week of lifecycle policies, storage class changes, and cleaning up forgotten multipart uploads. The savings were always there. Nobody had looked.

EC2 is the single largest line item on most AWS bills. It is also the line item where the gap between what teams pay and what they should pay is the widest. I have audited AWS accounts where compute spending dropped 45% in the first month after applying the strategies in this article. No performance loss. No architectural changes. Just purchasing mechanics, instance selection, and scheduling discipline. The savings were always available. The team had never looked.