"Works on my machine" is a deployment strategy, not a good one. We containerize existing applications, write multi-stage Dockerfiles that actually stay small, and wire up pipelines that ship the same image from a laptop to staging to production — no environment drift, no surprises at deploy time.
Docker is easy to start with and easy to get wrong — bloated images, leaked secrets in layers, and containers that don't actually match production. We've cleaned up enough of these to know the patterns worth following from day one.
We containerize existing applications without a rewrite — matching your current runtime, dependencies, and environment variables so behavior doesn't change, just the deployment story.
Build stages separated from runtime images, unused dependencies and build tools stripped out, so images ship small and start fast.
CI/CD that builds, tags, scans, and pushes Docker images automatically — the same artifact tested in CI is the one that runs in production.
Docker Compose setups for local development so every engineer runs the same stack, without a page of manual setup instructions.
Minimal base images, no secrets baked into layers, and a clear process for patching base image vulnerabilities before they pile up.
Scoped to the problem you actually have — a single Dockerfile cleanup or a full containerization of a legacy app.
Turning an existing app — legacy or modern — into a properly containerized service ready for any orchestrator.
Build-time and runtime stages split cleanly, image size and layer caching optimized for fast rebuilds.
Multi-service local environments — app, database, cache — that start with one command and match production closely enough to trust.
Automated image builds, tagging, vulnerability scanning, and registry pushes wired into your existing CI provider.
Reviewing existing Dockerfiles for bloated images, slow builds, and avoidable security exposure.
Yes. We work with your current codebase and runtime as-is — no rewrite required — and containerize it so it runs consistently from a developer's laptop through to production.
Yes. We wire up pipelines that build, test, scan, and push Docker images automatically, so the image that passes CI is the exact one that gets deployed.
Docker packages your application; Kubernetes (or a simpler orchestrator) decides where and how it runs at scale. Many teams only need Docker plus a managed container service — we'll tell you honestly if Kubernetes is overkill for your current scale.
Yes. Most slow builds come down to poor layer caching and unnecessary build tools shipping in the final image — both fixable without changing how your application runs.
Tell us what you're running today — we'll scope a containerization and deployment approach with a fixed estimate.