There's a version of this conversation that happens a lot. A business builds something — either in-house or with an agency — and it works well enough at first. The team grows, the customer base grows, the transaction volume grows. And then at some point, the system starts to creak.
Queries slow down. Workarounds proliferate. The database that made perfect sense at launch becomes a constraint on what the business can do next. And fixing it means either expensive retrofitting or, in some cases, rebuilding from scratch.
The reason this happens isn't usually negligence. It's that scalability is easy to defer when there are more immediate things to ship. And at the start of a project, making architectural decisions that account for 10x growth can feel like over-engineering when you're still working out if the core product is right.
We get that instinct. We're not arguing for building the infrastructure of a company ten times your current size on day one.
But there's a version of planning for scale that costs almost nothing upfront. It's mostly about how data is structured, how services are separated, which decisions get locked in early versus which ones stay flexible. These aren't expensive choices at the design stage. They're expensive choices when you're trying to retrofit them into a system that's already running under load.
When we scope new projects, we work through a simple question: what does this look like when it's carrying 10x the traffic, 10x the data, 10x the users? Not so we can spec for that on day one — but so that nothing we build today closes the door on it. The goal is always to build something that's the right size now and can grow without a fundamental rethink.
The first version of something should be able to become the second and third version. That's what we're designing for.