Cross-region read latency optimizer for Aurora and RDS

The moment an engineering team realizes their global application is hitting cross-region database reads — and that their p95 query latency has ballooned from 80ms to over two seconds for users in distant regions — is the moment they discover that their database architecture has a structural problem nobody warned them about at setup time. The complaint is direct: 'performance of read queries when data is stored and accessed cross-regions' is called out as a specific unresolved problem.

This gap persists for a specific structural reason: AWS and other cloud database vendors provide the building blocks to fix cross-region read latency — read replicas, global clusters, regional caching — but configuring them correctly requires understanding replication lag, consistency trade-offs, and routing logic that most engineering teams only encounter once. The documentation exists, but there is no opinionated layer that looks at a team's current Aurora or RDS configuration, identifies which of their actual slow queries are cross-region reads, and tells them exactly what to change — which tables to replicate, where, and how to route reads in their application layer.

Teams instead spend days reading AWS documentation, opening support tickets, or hiring consultants for one-time engagements. That's the pricing and delivery model that currently captures this pain: expensive consultants who fix it once. But the problem recurs every time a team expands into a new region, every time read traffic shifts, and every time a new high-traffic query gets added to the application. A recurring subscription service that continuously monitors cross-region query routing and flags when read patterns have shifted enough to warrant a configuration change is something consultants cannot competitively offer.

What to build

Build an agent that connects to an Aurora Global Database or RDS Multi-AZ setup via CloudWatch metrics and slow query logs, identifies which slow queries are attributable to cross-region read hops, models the latency improvement achievable by adding or repositioning a read replica, and generates the exact Terraform or CloudFormation change needed to implement it.

Where to start

Start with companies that have already enabled Aurora Global Database but are not using read replicas in their secondary regions — they've already paid for the infrastructure that would fix their problem, they just haven't configured it, which makes the value immediate and the change low-risk.

The hard part

The value is only obvious after you've shown the before-and-after latency numbers for a specific customer's real queries — which means you need a working integration before any sales conversation is convincing, making the first customer a near-volunteer situation.

How it makes money

Monthly fee per Aurora cluster monitored, priced relative to the compute cost the customer is already paying — framed as a percentage of wasted spend recovered, which makes the ROI conversation straightforward.