Cloud Infrastructure & DevOps

Most engagements are one of three shapes. Greenfield setup: you have an app, we put it into production properly — Dockerfile, reverse proxy, database, CI/CD, monitoring, the works. Migration: you're on a tangled VPS or trapped on a legacy Heroku dyno and want to move to something cheaper or more reliable. Audit and cleanup: you have infrastructure already but nobody knows quite how it works, so we document, harden, and rebuild the weak parts.

Concretely, we set up Docker images that actually use multi-stage builds and don't ship as 1.2GB, Nginx configs that do TLS, caching, rate limiting, and proper buffering, CI/CD pipelines on GitHub Actions that build, test, and deploy on merge, auto-scaling groups on DigitalOcean App Platform or Fly.io when load spikes warrant it, and managed Postgres with daily backups that we actually test.

Monitoring goes in from day one: Sentry for errors, uptime checks on public endpoints, log aggregation, and Slack alerts for anything that needs human attention. You shouldn't learn your site is down from a customer email.

Founders whose AWS or DigitalOcean bill is creeping up and nobody can explain why. Teams whose deploys currently require SSHing into a box and running a script nobody wrote down. Businesses whose single developer left and took half the infrastructure knowledge with them. Startups with one app on Heroku who need to move before the bill triples on their next scale.

Also: companies with a solid app but no CI/CD, so every release is a manual risk. And teams whose current monitoring setup is "check the app ourselves every morning and hope."

Start with an infrastructure walkthrough — we read what you have, run a few diagnostics, and document every piece currently in production. This alone is often the most valuable deliverable. You'd be surprised how many SaaS businesses don't have an accurate list of the services they're paying for.

From there, we prioritize by risk: secrets management, backup verification, and TLS config come first because a failure there is catastrophic. CI/CD, staging environments, and observability come second because they compound — every deploy is safer and faster once they're in place. Cost optimization is usually last and often pays for the engagement by itself.

Everything we set up is documented in the repo alongside the code. Infrastructure-as-code where it makes sense (Dockerfiles, GitHub Actions workflows, Fly.io and Vercel config files committed). The goal is that a new engineer can onboard without depending on whoever set things up originally.