Containers solve the perennial problem of code that works on one machine but not another. By packaging an application with its exact dependencies, Docker makes deployments reproducible from a developer's laptop through to production. We containerise your applications with lean, secure images and a sensible local workflow, so every environment runs the same artefact.
Dockerising applications cleanly
We write Dockerfiles tailored to each application rather than reaching for bloated base images. Multi-stage builds compile and bundle in one stage, then copy only the runtime artefacts into a slim final image, cutting size and attack surface dramatically. Dependencies are pinned for reproducible builds, and layers are ordered so caching speeds up rebuilds. Non-root users and read-only filesystems are applied where the workload allows. The outcome is an image that starts fast, stays small, and behaves identically wherever it runs.
Local development with Docker Compose
Reproducibility matters most when developers can run the full stack locally. We define Docker Compose configurations that spin up your application alongside its databases, caches, and supporting services with a single command. Environment variables and volumes are structured so local data persists between runs without leaking into images. New engineers go from clone to running stack in minutes instead of fighting setup documentation. This local parity means bugs surface during development rather than after deployment to a shared environment.
Image security and registries
Containers are only as safe as their images, so we scan for known vulnerabilities in base layers and dependencies and rebuild on a regular cadence to pick up patches. Images are stored in a private registry with access controls, and tags follow a clear convention so you always know what is deployed. Secrets stay out of images entirely, injected at runtime instead. We document the build and publish process so your team produces consistent, auditable images long after the engagement ends.
Build pipelines and handover
We wire image builds into your CI so every merge produces a tagged, scanned image ready to deploy, removing manual build steps and the inconsistencies they cause. The pipeline pushes to your registry and can trigger downstream deployment to your hosting or orchestration platform. We provide documentation covering the Dockerfile design decisions, the local workflow, and the build pipeline, so your developers can extend the setup confidently rather than treating the containers as a black box.
What You Get
Optimised multi-stage Dockerfiles per application
Docker Compose configuration for local development
Private registry setup with access controls
Image vulnerability scanning in the build pipeline
CI-integrated build and publish workflow
Documentation of image design and workflows
Why Teams Choose TurnGlobal
Multi-stage builds keep images small and secure
Compose gives developers true local parity
Scanned images reduce production vulnerabilities
CI builds remove manual, error-prone steps
FAQs
Can you containerise an older application?
Usually, yes. We assess the application's dependencies and runtime, then build a Dockerfile that captures them faithfully. Even legacy stacks benefit from reproducible images, though we flag any components that need adjustment to run cleanly inside a container.
Do we need Kubernetes to use Docker?
No. Docker is valuable on its own for reproducible builds and simple deployments via Compose or a single host. Kubernetes adds orchestration for scaling and self-healing across many containers, which we recommend only once that complexity is justified.
How do you keep container images secure over time?
We scan images during the build, keep base images current, and rebuild on a regular cadence so patches flow through. Secrets are injected at runtime rather than baked into images, and the registry enforces access controls so only trusted images deploy.