Technology · Docker
Dockerized
from laptop to production.
Containers that make environments identical: local development, CI and production running the same images, finally.
containers went mainstream
runs identically anywhere
multi-service local stacks
dependency-safe by design
Why Docker
The bug that only
happens in production.
Environment drift causes a quiet majority of deployment pain: different PHP versions, mismatched extensions, stale caches. Containers pin the whole runtime into images, so what passed review on your machine is byte-for-byte what deploys tonight.
- Works-on-my-machine, cured
- Version-pinned dependencies
- Repeatable CI builds
- One-command onboarding
- Rollbacks are trivial
- Resource-isolated services
What we build
Six ways we build
with Docker.
Each engagement shaped around your goals rather than a fixed package.
Project containerization
Existing apps wrapped into tidy multi-stage images.
DockeriseCompose dev stacks
App, database, cache and mail wired for one-command startup.
Local devCI build pipelines
Images built, tested and pushed automatically on every merge.
CI/CDDeployment setups
Compose-on-VPS simplicity or orchestrated clusters as needed.
DeploysImage slimming
Bloated gigabyte images reduced to lean, layered builds.
OptimisationRegistry & scanning
Private registries with vulnerability scans gated before deploy.
Supply chainImage craft
Multi-stage builds,
distroless ambitions.
Build tools belong in build stages, not shipping images. We separate compilers from runtimes, pin base digests, order layers for cache hits and scan for CVEs, images that pull fast, start fast and patch cleanly.
The ecosystem
A toolchain that
stays out of the way.
Docker pairs with simple orchestrators first; complexity gets added only when numbers demand it.
Our process
Containerize once,
deploy anywhere after.
The first containerization pays forward into every future environment and host.
Stack inventory
Services, versions and env vars catalogued from current setups.
Step 01Image authoring
Multi-stage Dockerfiles written per service with slim outputs.
Step 02Compose orchestration
Local stack wired with seeded data and hot reload paths.
Step 03Pipeline handover
CI building and pushing images; deploy docs left behind.
Step 04Operational calm
Rollbacks that
take seconds.
Immutable images turn deployment regret into a tag flip.
Tagged releases
Previous versions retained and instantly restorable.
Rootless options
Daemons hardened where hosts allow.
Healthchecks
Orchestrators restart only what truly died.
FAQ
Common questions.
Do small projects need Docker?
Once more than one person or one environment touches them, usually yes. Solo static sites can wait.
Docker on a simple VPS?
Absolutely common: Compose handles modest production setups with elegance and cheap hosting.
Will it slow my machine?
Far less than it used to; WSL2/Apple Silicon made containers feel native again.
Can databases live in containers?
Locally, wonderfully. In production we weigh managed services against self-hosting per case.
Kubernetes needed too?
Not by default. Compose or single-node orchestrators cover most SME workloads honestly.
Can you containerize legacy apps?
Usually, yes, old PHP or Node stacks wrap surprisingly well with correct base images.