Docker expertise
Container strategies that streamline development, testing and deployment across your organisation.
We standardise Docker images, pipelines and developer tooling to ensure consistent environments from laptop to production.
What is Docker
Docker packages applications and dependencies into portable containers for consistent execution anywhere.
It simplifies local development, testing and deployment across environments.
We implement Docker workflows with security scanning, caching and automation aligned to platform goals.
Multi-stage builds, caching strategies and dependency management for fast pipelines.
Vulnerability scanning, signed images and supply chain governance.
Compose files, Dev Containers and documentation accelerating onboarding.
Seamless delivery into Kubernetes, ECS, serverless containers and edge environments.
Why Docker works well
- Removes environment drift across teams
- Improves CI/CD consistency and speed
- Supports microservices, legacy modernisation and testing
- Forms the foundation for platform engineering efforts
Projects enhanced by Docker
How we use Docker to improve delivery workflows.
Wrap existing applications for modern deployment and scaling.
Dev Containers, templates and internal portals for rapid setup.
Docker based builds, testing and release automation.
Image scanning, SBOM generation and policy enforcement.
Consistent packaging for Kubernetes, ECS, App Service and edge devices.
Workshops and documentation to upskill development teams.
When Docker is the right choice
- Teams seeking consistent environments from development to production
- Organisations preparing for Kubernetes or container platforms
- Products requiring repeatable testing and release processes
- Businesses modernising legacy applications with minimal code changes
When to consider alternatives
- Serverless platforms may reduce operational overhead for simple workloads.
- PaaS solutions might be faster for single runtime applications.
- If security governance is immature, invest in policies before scaling Docker usage.
- Virtual machines could remain for stateful or specialised workloads.
Docker vs virtual machines
| Criterion | DockerContainers | Virtual machinesVM |
|---|---|---|
| Footprint | Lightweight, shares host kernel | Full OS per VM |
| Start-up time | Seconds | Minutes |
| Isolation | Process level isolation | Hardware level isolation |
| Use cases | Microservices, CI/CD, testing | Legacy apps, stateful workloads |
| Operations | Requires registry, scanning and orchestration | Managed by hypervisor and OS tooling |
We help balance Docker and VM usage to achieve consistency, security and cost efficiency.
Standardise your Docker workflow
We provide best practice images, automation and enablement to scale container adoption.
No obligation. We keep repository details private and delete them on request.