Cloud & DevOps

Cloud infrastructure work usually starts in one of two states: a team that's already on AWS, GCP, or Azure but has outgrown a setup that was fine for the first few users, or a team still deploying by hand and paying for it in downtime and 2am fixes. Both are normal starting points — the fix looks different depending on which one you're in.

For teams already in the cloud, the work is usually about turning implicit knowledge into explicit infrastructure: the environment variables someone remembers, the manual step before every deploy, the server nobody's sure is still needed. Infrastructure as code isn't a checkbox — it's what lets a second engineer understand the system without a handoff meeting.

A partial migration that's actually finished beats a full migration that's 80% done and abandoned.

For teams still deploying manually, the first milestone is never automating everything at once. It's picking one service, building a real CI/CD pipeline for it end to end, and proving the pattern works before rolling it out further. A partial migration that's actually finished beats a full migration that's 80% done and abandoned.

We size the tooling to the problem. Kubernetes is a real answer for genuine multi-service scaling needs; it's overkill for a team running three containers that don't need independent scaling. Our default recommendation is the simplest setup that solves the actual bottleneck, with a clear next step if growth demands more later.