Technology · Docker

Dockerized
from laptop to production.

Containers that make environments identical: local development, CI and production running the same images, finally.

See Docker by the numbers
0

containers went mainstream

One image

runs identically anywhere

Compose

multi-service local stacks

Isolated

dependency-safe by design

Docker logo
New developer, productive by lunch. docker compose up replaces a day of environment archaeology.

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.

01

Project containerization

Existing apps wrapped into tidy multi-stage images.

Dockerise
02

Compose dev stacks

App, database, cache and mail wired for one-command startup.

Local dev
03

CI build pipelines

Images built, tested and pushed automatically on every merge.

CI/CD
04

Deployment setups

Compose-on-VPS simplicity or orchestrated clusters as needed.

Deploys
05

Image slimming

Bloated gigabyte images reduced to lean, layered builds.

Optimisation
06

Registry & scanning

Private registries with vulnerability scans gated before deploy.

Supply chain

Image 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.

Layer orderingCache-friendly instruction sequences.
Digest pinningBase images frozen deliberately.
Scanned buildsCVE gates before any push.
.dockerignoreBuild contexts kept tiny.

The ecosystem

A toolchain that
stays out of the way.

Docker pairs with simple orchestrators first; complexity gets added only when numbers demand it.

Compose v2 BuildKit GitHub Actions Watchtower Traefik Portainer Trivy scans Harbor registry Redis containers Mailpit testing

Our process

Containerize once,
deploy anywhere after.

The first containerization pays forward into every future environment and host.

01

Stack inventory

Services, versions and env vars catalogued from current setups.

Step 01
02

Image authoring

Multi-stage Dockerfiles written per service with slim outputs.

Step 02
03

Compose orchestration

Local stack wired with seeded data and hot reload paths.

Step 03
04

Pipeline handover

CI building and pushing images; deploy docs left behind.

Step 04

Operational 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.