Remove environment drift
Containers make local setup, CI checks, and deploy artifacts much closer to the same thing. Fewer surprises, faster onboarding.
Secondary Skill
Docker
A secondary skill we use to make development, CI, and production agree on what is running. Docker keeps services portable, repeatable, and easier to hand off.
Why we ship with Docker
Docker gives teams a repeatable way to package apps, dependencies, and supporting services so development, CI, and production stay aligned.
Package services cleanly
Well-built images make services easier to run, scan, deploy, roll back, and move between infrastructure targets.
How we use it to ship products
We use Docker as the practical packaging layer around applications, workers, jobs, databases, and test dependencies.
Local development
Compose files, seeded services, and clear commands so new engineers can run the stack quickly.
CI and test parity
Repeatable build and test environments for services, browsers, queues, and databases.
Production images
Small, secure images with explicit runtime dependencies and predictable startup behavior.
Deployment handoff
Container artifacts that fit Kubernetes, ECS, serverless containers, and managed app platforms.
Our delivery principles with Docker
Practical choices that keep containers fast, secure, and maintainable.
Build small images
Multi-stage builds, lean bases, and explicit runtime layers keep deploys faster and easier to scan.
Make commands obvious
Run, test, seed, migrate, and debug paths should be documented and repeatable for the whole team.
Separate dev from prod
Local convenience should not leak into production images. We keep debugging tools and runtime artifacts distinct.
Scan and pin dependencies
Versioned bases, lockfiles, and vulnerability checks keep container supply chains reviewable.
Often ships alongside
Docker is usually part of the release path, paired with orchestration, pipelines, and cloud infrastructure.
Building with Docker
Want to ship with Docker?
Tell us about your app, environments, and release path. We'll map out a container workflow that supports local speed and production confidence.
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