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AI-Assisted IaC Redesign Cuts AWS Aurora Costs for Small and Bursty SaaS

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A software developer has outlined an architecture redesign that reduces AWS infrastructure costs for small, bursty, or early-stage multi-tenant SaaS products by limiting Aurora's role. Instead of routing all requests through an always-on Aurora database, the proposed approach demotes Aurora to a control plane that only wakes for commits, approvals, and audit actions. Hot paths, viewer requests, and LLM calls are redirected to DynamoDB, S3, CloudFront, and non-VPC Lambda functions, eliminating persistent NAT Gateway and RDS Proxy costs. The developer reached this design by iterating with AI coding tools like Claude Code and Codex rather than relying on deep infrastructure expertise, then validated it against a real dev deployment. The approach is explicitly scoped to dev environments and low-traffic workloads, not intended as a replacement for proven production database setups under steady, high-volume load.

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AI-Assisted IaC Redesign Cuts AWS Aurora Costs for Small and Bursty SaaS · ShortSingh