Environment drift
Language versions, system libraries and settings differ between laptops, staging and production, causing bugs that only appear in one place.
Cloud & DevOps · Containers
Docker containerization services that make every environment match
We package your application so it runs the same way on a developer laptop, in CI, on a single server or on a managed platform, without dragging in complexity you don't need.
What is Docker Containerization?
Docker containerization services package an application, its runtime and its dependencies into container images that run consistently on any host with a container engine. The work includes writing Dockerfiles, separating configuration and data from the image, defining multi-service setups with Docker Compose, and building images in CI. Containers make environments reproducible and deployments repeatable; they do not by themselves require Kubernetes.
When an application is installed by hand on each server, every environment drifts. Staging has a different library version, a new developer spends days getting the project running, and nobody is sure how production was configured. Containers fix this, but poorly written images bring their own problems: huge sizes, root processes, secrets baked into layers and data lost when a container is replaced.
Problems containers solve, and ones they create
Slow onboarding
Setting up a project locally means following an outdated README and installing databases and tools by hand.
Bloated, insecure images
Images built from full operating systems, running as root and containing build tools or secrets are slow to ship and risky to run.
Losing data on redeploy
Databases or uploads stored inside a container disappear when it is recreated unless volumes and backups are planned.
Our Docker Containerization service
Dockerfiles for each service
Multi-stage builds that produce small runtime images, with pinned base images, non-root users and sensible health checks.
Docker Compose for development
One command to start the application with its database, cache and supporting services, matching production versions.
Production container setup
Compose on a VPS, a managed container service or Kubernetes (chosen for your scale) with restart policies, resource limits and log handling.
Configuration, secrets and data
Environment-based configuration, secrets supplied at runtime, and named volumes or managed services for data, with backups defined.
Image builds in CI
Images built, tagged by version, scanned for known vulnerabilities and pushed to a registry by the pipeline.
Containerizing existing applications
Legacy PHP, Python, Node.js or Odoo applications adapted to run in containers, including moving local file storage and fixing hard-coded paths.
Included capabilities
- Multi-stage Dockerfiles
- Minimal or slim base images
- Non-root container users
- Health checks and restart policies
- Docker Compose for dev and production
- Named volumes and backup strategy
- Reverse proxy with automatic TLS
- Image vulnerability scanning
- Versioned images in a private registry
What Docker Containerization changes for your business
Same behavior everywhere
The image tested in CI is the image that runs in production.
Repeatable deployments
Updating means running a new image version; rolling back means running the previous one.
Faster onboarding
Local setup becomes a documented command instead of a day of installation.
Portability
Containerized applications can move between providers and platforms with far less rework.
Where it makes the biggest difference
Consistent development environments
A team where new developers can run the full application locally on their first day.
Simpler single-server production
A web application and its services running under Docker Compose on one well-managed VPS, updated by pulling new images.
Odoo deployments
Odoo and PostgreSQL in containers with persistent filestore volumes, custom addons mounted from Git and controlled version updates.
Stepping stone to orchestration
Containerizing first so that a later move to a managed container service or Kubernetes is straightforward if growth demands it.
From hand-built servers to versioned images
Development and production use the same images, built by the pipeline.
Inventory
Identify each service, its runtime, dependencies, configuration, data locations and background jobs.
Containerize
Write Dockerfiles and adjust the application where it assumes a fixed server, such as local files or hard-coded hosts.
Compose locally
Create a development setup the whole team can run, and fix gaps it reveals.
Automate builds
Build, scan and push images from CI so production never uses a hand-built image.
Deploy
Roll out to the chosen target with volumes, secrets, proxy and monitoring configured.
Document
Runbooks for updates, backups, restores and adding new services.
What it connects to
Docker Containerization
- Docker Hub and private registries
- GitHub and GitLab container registries
- AWS, Google Cloud and Azure container services
- VPS hosts such as Hetzner, DigitalOcean and Hostinger
- Traefik, Caddy or Nginx reverse proxies
- PostgreSQL, MySQL and Redis
- GitHub Actions and GitLab CI
Built with
Docker Compose or Kubernetes?
| Criterion | Docker Compose on a VM | Managed Kubernetes |
|---|---|---|
| Complexity | Low; one file describes the stack | High; many concepts and components |
| High availability | Limited to one host unless you add more | Built for multiple nodes and self-healing |
| Scaling | Vertical, or manual extra hosts | Horizontal autoscaling, once configured |
| Running cost | One server | Cluster nodes, load balancers and control plane fees on some providers |
| Skills needed | Docker and Linux basics | Dedicated Kubernetes knowledge |
| Typical fit | Most small and mid-sized applications | Many services, high traffic, strict availability |
Security, quality and scale
Least-privilege containers
Processes run as non-root users with only the capabilities and ports they need.
No secrets in images
Credentials are injected at runtime, never written into Dockerfiles or image layers.
Patched base images
Base images pinned, scanned in CI and rebuilt regularly to pick up security fixes.
Resource limits
Memory and CPU limits stop one container from exhausting the host and taking others down.
What working with us looks like
No Kubernetes by default
We recommend the simplest container platform that meets your needs, and say so plainly.
Application-level fixes
As developers, we can change the code that prevents an application from running cleanly in a container.
Odoo and web experience
We containerize the systems we build and support, including Odoo, WordPress and custom web apps.
Data handled carefully
Volumes, backups and restore tests are planned before anything stateful goes into a container.
What it costs
Fixed-price packages with the scope written down, paid stage by stage. Your project goes live once it's fully paid.
Related services, technologies and industries
Sources and further reading
Official documentation and guidance if you want to read more about this topic.
Docker Containerization: questions we hear most
Do we need Kubernetes if we use Docker?
No, most businesses using Docker do not need Kubernetes. Docker Compose on a well-managed server, or a managed container service, is enough for many applications. Kubernetes becomes worth its complexity when you run many services, need automatic scaling across machines or require high availability that one host cannot provide.
Can any application be containerized?
Most server-side applications can be containerized, including older PHP, Python and Java systems. Some need changes first, such as moving uploads to object storage or reading configuration from environment variables. Desktop software and applications tied to specific hardware are harder candidates.
Should our database run in a container?
It can, with persistent volumes and tested backups, and that is common for development and smaller production setups. For important production data, a managed database service often reduces risk and maintenance. We recommend one or the other based on your data size, availability needs and budget.
Does containerizing make an application faster?
Not by itself; containers add very little overhead but do not speed up slow code or queries. The gains are consistency, easier deployments and portability. Performance work is a separate task, though containerizing often exposes configuration issues worth fixing.
How are containers updated and rolled back?
A new version is a new image tag: the pipeline builds it, and the server or platform replaces running containers with it. Rolling back means redeploying the previous tag, which is why images are versioned and never overwritten.
Next step
Containerize without overbuilding
Tell us what your application runs on today. We'll suggest how to package it and the simplest platform that will run it reliably.