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Docker containerisation services for live apps, without a rewrite. Docker containerisation services for existing apps: production Dockerfiles, Docker Compose for live servers, image scanning and CI builds, handed over to you.
Our Docker containerisation services take applications that run today on a hand-configured server and move them into containers without a rewrite. Each service gets a multi-stage Dockerfile, a non-root runtime user, a health check and pinned dependencies. We write a Docker Compose setup for production, add image builds to your CI pipeline and document how to deploy, roll back and update. Development, staging and production then run the same image, with only configuration changing between them.
Why teams ask us to containerise. It works on one server only The app depends on packages, paths and settings installed by hand years ago, and nobody can rebuild that server with confidence.
New developers lose days to setup Getting the project running locally means a long README, the right runtime version and a database someone has to configure by hand.
Images are huge and never updated A Dockerfile exists, but it builds a 2 GB image from a floating latest tag, runs as root and has not been rebuilt since it was written.
Compose was only meant for development The same docker-compose.yml from a laptop now runs production, with no health checks, restart policies, log limits or backups.
What our Docker work covers. Application assessment We map each service's runtime, system packages, file writes, ports, background jobs and configuration before writing a single line of Dockerfile.
Production Dockerfiles Multi-stage builds that keep compilers out of the final image, pinned base image versions, a .dockerignore, a non-root user and a HEALTHCHECK.
Configuration and secrets Settings moved into environment variables, secrets kept out of images and Git, and persistent data placed on named volumes or object storage.
Docker Compose for production Restart policies, health-checked start-up order, CPU and memory limits, log rotation with max-size and max-file, and NGINX or Traefik in front with TLS.
Image hygiene Smaller base images, layer ordering that keeps builds cached, vulnerability scanning with Trivy or Docker Scout, and a schedule for rebuilding on patched bases.
CI builds and registry Images built and tagged by commit in GitHub Actions, Jenkins or Azure DevOps, then pushed to GHCR, Amazon ECR, Azure Container Registry or a private registry.
Local development setup A Compose file for developers with the database, cache and queue the app needs, so a new laptop runs the project with one command.
Runbooks and hand-over Written steps for deploying, rolling back to a previous image tag, rotating secrets and restoring volumes, kept in your repository.
Engagement options Containerisation project A fixed-scope project to move one or more existing applications into Docker and onto your servers.
Assessment of each service Dockerfiles, Compose files and CI image builds Staged cut-over with a rollback plan Documentation and a hand-over session Docker review A short review for teams that already use Docker and want to know what to fix first.
Review of Dockerfiles and Compose files Image size and vulnerability scan results Security and reliability findings A written, prioritised list of changes Managed containers A monthly retainer where we keep your containerised services patched, monitored and deployable.
Scheduled image rebuilds on patched bases Monitoring, alerts and incident response Volume backups with tested restores Coverage hours and response times agreed in the retainer How it works Scoping call We go through what you run, where it runs and what makes deploying or onboarding painful today.
Assess and plan We inspect the code and servers, list every dependency and send a written plan with the order of services and the cut-over approach.
Containerise on staging Images and Compose files are built in two-week increments and run on staging alongside the current setup until they behave the same.
Cut over and hand over We switch production with a tested rollback path, then hand over files, credentials and runbooks, or stay on to run it under a retainer.
Why Infigini We run containers ourselves Our own deployments run Docker behind Traefik and NGINX, including Dokploy on VPS hosts and a private cloud for development and test.
We read the application code The same engineers build web apps in Python, Node.js and Angular, so we can change how an app reads config or writes files when the container needs it.
Compose first, Kubernetes when needed Many products run well on Docker Compose on one or two servers. We suggest Kubernetes only when the workload justifies it, and explain why in writing.
Everything stays yours Dockerfiles, Compose files, pipelines, registry and documentation live in your repositories and accounts from the first day.
Technologies: Docker, Docker Compose, BuildKit, Trivy, Docker Scout, GitHub Actions, Jenkins, GHCR, Amazon ECR, Azure Container Registry, Traefik, NGINX
Related projects Self-Service Deployment Server — A shared server that lets anyone in the organisation deploy applications through CI/CD to multiple domains and subdomains.
School Sports Social App — A social app for US schools and students to share sports content and organise activities.
High-Performance Hybrid Cloud — A multi-node private cloud for development and test environments, with mesh networking and a web control plane.
Frequently asked questions What do Docker containerisation services include? We assess each application, write production Dockerfiles, move configuration and secrets out of the code, set up Docker Compose for your servers, and add image builds and scanning to your CI pipeline. We then cut production over with a rollback plan and hand over documentation. The exact list of services and environments is agreed in writing before work starts.
Can you containerise an old application without rewriting it? Usually, yes. Most older PHP, Python, Node.js, Java and .NET applications can run in a container once we know what they depend on. The common changes are small: reading settings from environment variables, writing logs to stdout, and moving uploaded files to a volume or object storage. If something cannot run well in a container, we say so in the assessment.
Is Docker Compose fine for production? For many products, yes. Compose on a well-run server handles several services with restart policies, health checks, resource limits and a reverse proxy. Its limits are scaling across many machines and automatic failover between hosts. If you need those, we discuss Kubernetes or a managed container service such as Amazon ECS or Azure Container Apps.
How do you keep Docker images small and secure? We use multi-stage builds so build tools never reach the final image, start from slim or distroless bases where the app allows it, pin versions, and run as a non-root user. Images are scanned with Trivy or Docker Scout in CI, and we rebuild on patched base images on a regular schedule rather than only when something breaks.
What happens to our databases during containerisation? Databases are handled separately from application containers. Some teams keep PostgreSQL or MongoDB on a managed service or an existing server, and others run them in containers with named volumes. Either way we set up backups, test a restore before cut-over, and plan the switch so data is not written in two places.
How is a containerisation project priced? Projects are quoted at a fixed price once we have assessed the applications. The main factors are the number of services, how much of each app depends on its current server, the number of environments and whether CI pipelines need building too. Ongoing management is a monthly retainer with its scope agreed in writing. Tell us what you run and we will send an estimate.
Will there be downtime when we move to containers? We aim to keep it to a short, planned window or avoid it entirely. The containerised version runs on staging first, then alongside production, and traffic is switched at the proxy or DNS level. The old setup stays in place until the new one has run cleanly, so rolling back means pointing traffic back to it.
Can our own developers maintain the setup afterwards? Yes, that is the goal. Dockerfiles and Compose files are commented, kept in your repository and explained in a hand-over session. Runbooks cover deploying, rolling back to an earlier image tag, updating base images and restoring volumes. If you want help later, a support retainer is available, but nothing depends on us.
Further reading Containerising a legacy Django app: a step-by-step guide
Smaller, safer Docker images: multi-stage builds and scanning
When we don't recommend Kubernetes
Moving CI from Jenkins to GitHub Actions without a freeze
Self-hosting production apps with Dokploy
Docker Compose in production: the checklist we use
Infigini IT Services · 11 Kanwali Road, Dehradun 248001, India · info@infigini.com · +91 95684 87789