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A Founder's Guide to Cloud Cost Optimization
Simple architecture decisions that can cut your cloud bill without sacrificing performance or reliability.
Cloud bills creep up quietly. Nobody notices until finance asks why AWS costs doubled in a quarter with no corresponding growth in usage.
The most common culprit is over-provisioned compute — services sized for peak load running at that size 24/7. Right-sizing instances and using auto-scaling instead of static capacity is usually the single biggest lever.
The second lever is storage. Old logs, unused snapshots, and orphaned volumes accumulate fast. A quarterly storage audit with automated lifecycle policies (moving cold data to cheaper storage tiers) routinely cuts storage costs by 30-50%.
The third is architecture: serverless and managed services often cost less than running your own servers for variable-traffic workloads, because you stop paying for idle capacity. The fourth is reserved instances or savings plans for the baseline load you know you'll always need.
None of this requires a rewrite. Most of our cloud cost optimization engagements are a two-week audit followed by targeted changes — and the savings usually pay for the engagement within the first billing cycle.