Overview
"It works on my machine" is usually a containerization problem. I turn your application into a properly containerized service: small, secure images that build fast and run identically in development and production.
This is often the first step before a Kubernetes migration or CI/CD setup — you can't automate a deploy pipeline for an app that isn't reliably containerized yet.
What's Included
- Optimized multi-stage Dockerfiles — smaller images, faster builds, no build tooling shipped to production
- Docker Compose for local development — one command to spin up your app and its dependencies (databases, caches, queues)
- Image security scanning — Trivy or Grype integrated into your build, with a report on any vulnerable base images or packages
- Private registry setup — ECR, GCR, or Docker Hub, with authentication wired into your local and CI workflows
Our Process
- App review — I look at your current build/run process and dependencies to plan the container strategy.
- Dockerfile & Compose build — multi-stage Dockerfile per service, plus a docker-compose.yml that mirrors production dependencies.
- Security scan — vulnerability scan against the built images, with fixes applied where practical.
- Handover — a short walkthrough of the build, plus documentation on how to add new services later.
Who This Is For
Teams still deploying from a VM with a manual build script, or with Dockerfiles that "work" but produce 2GB images and take ten minutes to build. Also a common first step before CI/CD or Kubernetes work.
FAQ
What languages/frameworks do you support? Any — Node, Python, Go, Java, Ruby, PHP, .NET, and more. Multi-stage builds are language-specific but the approach is the same.
Will this change how my team develops locally?
Only for the better — docker compose up replaces whatever manual setup steps existed before, and it stays in sync with production by design.
Can you also set up the CI pipeline to build these images? Yes, that pairs naturally with the GitLab CI/CD or GitHub Actions services.