Serverless & Edge

Not every workload needs a server running around the clock. Serverless and edge architectures let you pay for what actually runs, scale to zero when it doesn’t, and push logic closer to the user when latency matters — but they’re a good fit for some problems and a poor one for others, and part of the job is telling you which is which before you commit to either.

What we build

Hybrid and fully serverless systems built on AWS Lambda and Google Cloud Functions, plus edge compute for the parts of a request that genuinely benefit from running close to the visitor — authentication checks, redirects, personalisation, and similar low-latency logic that doesn’t need a full round trip to a origin server.

How we work

We treat serverless as a cost and operations decision as much as an architectural one. That means being honest about where it helps — bursty or unpredictable traffic, infrequent background jobs, event-driven processing — and where a conventional always-on service is still the better and simpler choice. Cold starts, execution limits and vendor-specific quirks get designed around up front, not discovered in production.

What you get

Infrastructure that scales down as readily as it scales up, so you’re not paying idle-server cost for traffic that only shows up in bursts. Where a project is mixed — some parts always-on, some parts event-driven — we design the split deliberately rather than defaulting everything to one model out of habit.

This pairs closely with Cloud & Infrastructure for the parts of a system that do need to run continuously, and with Backend Development for the APIs that sit in front of either.