Docker Containerization Services

We containerise legacy applications, optimise existing Dockerfiles, and wire up container pipelines, from writing the first Dockerfile to a production-ready registry with image scanning and signing.

Most containerisation projects stall because the first attempt produces an oversized image that is slow to build. We fix the fundamentals so containers are fast, small, and secure from the start.

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DockerfileMulti-stage
BuildCached layers
ScanVulnerabilities
RegistryPrivate, signed
RunKubernetes or ECS

From Dockerfile to running container.Images are built, scanned and stored in a private registry before they run.

Pain points we fix

Legacy app only runs on one server

Containerisation isolates dependencies so the app runs identically on any server, cloud provider, or developer machine.

Docker images are huge and slow to build

Multi-stage builds, layer ordering, and .dockerignore files can reduce image sizes and build times.

Containers running as root in production

We configure non-root users, read-only root filesystems, dropped capabilities, and seccomp profiles to harden container security.

No image scanning for vulnerabilities

We integrate Trivy or Snyk into CI pipelines to catch CVEs before images reach production.

Docker Compose in production

Compose is primarily a development tool. We migrate production workloads to Kubernetes or ECS with proper health checks, rolling updates, and secrets management.

No private container registry

We set up ECR, ACR, or GCR with lifecycle policies to prevent storage accumulation and enforce image signing.

What's included

Dockerfile writing and optimisation (multi-stage, minimal base images) Docker image size reduction Docker Compose setup for local development workflows Private container registry setup (ECR, ACR, or GCR) Image vulnerability scanning with Trivy in CI/CD pipeline Container security hardening (non-root, capabilities, seccomp) Migration from Docker Compose to Kubernetes or ECS .dockerignore and layer caching optimisation Base image standardisation and update strategy Container image signing (Cosign / Notary) Build pipeline integration (GitHub Actions, GitLab CI) Documentation: Dockerfile standards and developer onboarding guide

Our process

01

Application inventory and feasibility

We review each application, its dependencies, and any containerisation blockers (hardcoded paths, OS-level dependencies, file permissions). Output: a containerisation plan per service.
02

Dockerfile development

Multi-stage Dockerfiles written for each service. Images built locally, tested, and size-benchmarked. Base images standardised across the organisation.
03

CI/CD integration

Build, scan, and push steps added to existing pipelines. Registry configured with lifecycle policies. Image tags standardised (commit SHA + semantic version).
04

Production deployment

Workloads moved from Compose or bare servers to Kubernetes or ECS with proper health checks, resource limits, and rolling update strategies.

Tech stack

DockerDocker ComposeAmazon ECRAzure Container RegistryGoogle Artifact RegistryTrivyCosignGitHub ActionsKubernetesAWS ECS

Technologies we use for this

Each page explains how we run the tool in production and when we would pick something else.

Docker Trivy

Who you will work with

Engagements are led by a named senior engineer, not passed to an anonymous team.

Saddique Khan

CEO, DevOps / SRE / Cloud Consultant Engineer

Meet the team

Results

We publish results only when a client has approved them. See how we publish case studies and a sample report.

Engagement models

Project-based or ongoing managed operations. View all engagement models or get a quote.

Industries and locations

fintech saas ecommerce healthcare

FAQ

What is containerisation and why does it matter?

Containerisation packages an application and its dependencies into a portable, isolated unit. It eliminates "works on my machine" issues, enables consistent deployments, and is a prerequisite for Kubernetes.

How much smaller can you make our Docker images?

It depends on the starting point. Legacy Dockerfiles that use full OS images can often be reduced substantially with slim, Alpine or distroless base images and multi-stage builds.

Can you containerise .NET or Java legacy applications?

Yes. We can containerise .NET Framework apps on Windows containers, .NET Core apps on Linux, and Java Spring Boot services on JRE base images, and we handle the compatibility research.

Should we use Docker Compose in production?

Generally not. Docker Compose targets a single host and lacks the multi-node scheduling, automated rollouts and rollbacks, and secrets integration that production usually needs. We can migrate production workloads to Kubernetes or AWS ECS.

How do you handle application secrets in containers?

Secrets are never baked into images. We use Kubernetes Secrets (or External Secrets Operator backed by Vault/AWS SM), ECS task role integration, or Docker Swarm secrets depending on your platform.

What is image signing and do we need it?

Image signing (with Cosign or Notary) proves that a container image was built by your CI pipeline and has not been tampered with. It can support supply chain security practices such as SLSA provenance and help evidence change control for audits.

Ready to containerise your applications?

Book a free call. We will review your current stack and outline a containerisation roadmap.