Can it scale if my business grows quickly?

It can. We build your product on foundations that can take a sudden rush of users and be extended as you grow. What we don’t do is build for a million users on day one, because you’d be paying for problems you don’t have yet.

“Scale” means three different things, and it helps to separate them.

Three kinds of growth

Most products meet them in that order. Traffic spikes come first and are the easiest to handle well. Product growth comes last and depends most on how the code was written.

Traffic: the rush you can’t predict

Cloud hosting can add capacity when traffic rises and drop it when traffic falls. You pay for what you use, not for the peak all year.

Everyone’s Invited is the clearest example from our work. The charity gets surges of visitors when it’s talked about on social media. We built the site on serverless infrastructure, so it scales with the charity’s viral traffic and stays stable during the spikes.

Because your infrastructure is defined in code with Terraform, it can also be copied. A second region or a separate environment is a re-run, not a rebuild. Our infrastructure services page covers how we set that up.

Data: the growth that sneaks up on you

Data problems arrive slowly. The product works with a thousand records and struggles with a million. Fixing that late is expensive, so we think about it in Discovery.

For Ymobile, scaling was the brief. They’re the UK’s first eSIM-only network, with ambitious plans for growth. We built data pipeline infrastructure in Terraform, feeding Databricks for real-time analytics. Compliance was designed in from the start, not added once the data had grown.

If AI is on your roadmap, data growth matters twice over. An AI feature is only as good as the data behind it. Our guide to whether your data is ready for AI explains what to get right early.

Product: the growth that matters most

Most products don’t fail because servers can’t cope. They fail because every new feature takes longer than the last. That’s technical debt, the extra cost of change caused by earlier shortcuts.

The fix is boring, and we’re fine with that. Consistent code, documentation and a setup that’s written down. Then a new engineer, ours or yours, can add to it without breaking what’s there.

Pristine Condition shows what that growth can look like. Their old software had under ten percent adoption. Since the rebuild, usage has grown by around 9,000%. Around 150,000 warehouse staff worldwide now use it, at companies including Coca-Cola, British Airways and Tesco.

What scaling still costs

No product scales forever without more work. A product built well for launch will need changes at ten times the users, and again at a hundred times. The difference is whether those changes are extensions or a rebuild.

We’d also push back on paying for scale too early. Architecture for millions of users makes the first version slower and dearer to build. It’s a lovely problem to plan for and an expensive one to solve before it exists. Pay for scale when your users force you to.

If you expect complex integrations or heavy data from the start, that shapes which tier fits. Which LaunchPad package is right for me? walks through it. Once you’re live, someone has to watch the hosting while the numbers climb. That can be your team or ours, as do you offer ongoing maintenance and updates? explains.

The tools behind all of this are in what tech stack do you use?