AWS Cost Optimization: Cutting Cloud Bills Without Cutting Performance
Practical AWS cost optimization techniques that reduce spend without degrading performance — rightsizing, reserved capacity, and the storage tiers most teams ignore.
AWS bills grow quietly — an oversized instance here, an unused Elastic IP there, an S3 bucket accumulating logs in the most expensive storage tier for years. Most cost optimization opportunities don't require sacrificing performance; they require actually looking at usage data most teams never revisit after initial setup.
Rightsizing is the fastest win, and the most neglected
Instances are almost always provisioned generously at launch "to be safe," and then never revisited once traffic patterns are actually known. Reviewing CloudWatch utilisation data after a few months of real traffic and rightsizing instances to actual usage — not projected usage — routinely cuts compute spend by 20-30% with zero performance impact.
Reserved instances and Savings Plans for predictable workloads
Any workload running consistently — not spiky, seasonal traffic — is a candidate for Reserved Instances or Compute Savings Plans, which can cut compute costs by up to 40-60% compared to on-demand pricing in exchange for a one- or three-year commitment. The key is only committing capacity you're confident you'll actually use, based on real historical data.
S3 storage tiers most teams never configure
Log files, backups, and infrequently accessed data often sit in S3 Standard storage indefinitely, when S3 Intelligent-Tiering or lifecycle policies moving data to Glacier after a defined period can cut storage costs dramatically for data that's rarely, if ever, actually retrieved after the first few weeks.
The forgotten resources that quietly add up
Unattached Elastic IPs, unused EBS volumes left over from terminated instances, and idle load balancers are individually cheap but collectively meaningful — a quarterly audit using AWS Cost Explorer's resource-level breakdown catches these before they become a pattern across dozens of forgotten resources.
Frequently asked questions
How much can a business typically save with an AWS cost optimization review?
Results vary, but 20-40% reductions are common for infrastructure that's never been actively reviewed after initial setup — rightsizing alone often accounts for the largest single chunk, with storage tiering and eliminating forgotten resources adding meaningful savings on top.
Do we need to change our architecture to reduce AWS costs?
Not usually — most savings come from rightsizing existing resources, applying Reserved Instances or Savings Plans to predictable workloads, and cleaning up unused resources, none of which require re-architecting the application. Deeper architectural changes are only needed for more aggressive cost targets.
The WebSool take
We run cost optimization audits on existing AWS infrastructure as a standalone engagement — rightsizing, storage tiering and Reserved Instance planning, typically paying for itself within the first month of reduced spend. If your AWS bill has crept up without a clear reason, we can find out why.
