Cloud Architecture

The single biggest cost we see in inherited cloud infrastructure is over-specification. Kubernetes clusters running three services. Multi-region setups for products that serve one country. CDNs in front of sites that get fewer than 10,000 uniques a month. Every layer of the over-specified stack is an operational surface the client’s team has to maintain, and most of them don’t earn their keep.

Our cloud work starts from the opposite direction. We look at the actual load, the actual team size, and the actual business requirements, and we recommend the smallest infrastructure that meets them with room to grow. For a seed-stage product, that’s typically Vercel plus a single Postgres instance plus Cloudflare in front for caching. For a Series-A product, more. For a regulated-industry or enterprise product, we’ll design an AWS estate that meets the compliance posture without making every team’s life harder than it needs to be.

We write Terraform for everything we provision, without exception. Click-ops is a convenience that compounds into a tax: a month in, nobody remembers why the staging environment has different IAM roles from production, and two months in, the staging environment is broken and nobody can tell what changed. Infra-as-code from day one isn’t a nice-to-have; it’s the difference between infrastructure you can reason about and infrastructure you can only pray about.

Our depth is deepest on AWS and Vercel, with strong Cloudflare and meaningful GCP experience. We’ll work in Azure when a client’s already there and we won’t force a migration for migration’s sake. We document what we set up, we train the operating team, and we leave a runbook that explains why each piece exists and what to do when it starts behaving.