Docker ToolingConsistent environments from dev to production
Docker eliminates "works on my machine" — we containerise your application so dev, staging, and production run identically. From single-container apps to multi-service Compose stacks and Kubernetes-ready images.
Docker containerizes your application so that development, staging, and production environments are identical. Multi-stage Dockerfiles produce small, secure production images while keeping build tooling out of the final artifact. Docker Compose orchestrates multi-service stacks (app, database, cache, reverse proxy) in a single configuration file. From single-container deployments to Kubernetes-ready microservices, Docker is the foundation of modern deployment infrastructure. CI/CD pipelines build, tag, and push Docker images to registries like Docker Hub, GHCR, or AWS ECR for immutable, versioned releases.
Quick start
# Initialize a Dockerfile
docker init
# Build an image
docker build -t myapp .
# Run with Docker Compose
docker compose up -d
# Scan for vulnerabilities
docker scout quickviewRead the full documentation at docs.docker.com/
Multi-stage builds
Small production images via multi-stage Dockerfiles — build tooling stays out of the final image.
Docker Compose stacks
Define your full stack — app, database, cache, and reverse proxy — in a single docker-compose.yml.
CI/CD integration
Build, tag, and push images in CI — GitHub Actions, GitLab CI, and Bitbucket Pipelines covered.
Registry publishing
Push to Docker Hub, GitHub Container Registry, or AWS ECR — immutable tagged releases.
Security scanning
Trivy or Docker Scout scan for CVEs in your base image and dependencies before deployment.
Kubernetes-ready
Images built to work in Kubernetes — non-root user, health check endpoints, and graceful shutdown handling.
Why it's hard
Image size optimization
Naive Dockerfiles produce large images (1GB+). Multi-stage builds, alpine base images, and careful layer ordering are essential for production-grade containers.
Build caching in CI
Docker layer caching in CI environments (GitHub Actions, GitLab CI) requires explicit configuration. Without caching, every CI build starts from scratch, wasting time.
Security vulnerabilities in base images
Base images accumulate CVEs over time. Regular rebuilds, vulnerability scanning (Trivy, Docker Scout), and minimal base images reduce your attack surface.
Best practices
Use multi-stage builds
Separate build and runtime stages — install dev dependencies and compile in the build stage, copy only the final artifact to a slim runtime image.
Run as non-root user
Add USER node (or equivalent) in your Dockerfile — running as root in production containers is a security risk.
Scan images for vulnerabilities
Run Trivy or Docker Scout in CI to catch CVEs before deployment. Block deployments with critical vulnerabilities.
Use .dockerignore
Exclude node_modules, .git, and build artifacts from the Docker context — faster builds and smaller images.
Frequently asked questions
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