Skip to content
ThreadlineSoft
All projects
Technical demonstration

Automated application deployment with Docker and CI/CD

A reference pipeline that takes a web application from pull request to production with automated tests, container builds, and a controlled release.

This is a technical demonstration of our approach, not a description of work for a specific client. It contains no customer results.

The problem

What usually goes wrong

Many small teams deploy by hand: someone connects to a server, pulls the latest code, and restarts a process. It works until it doesn't, and then nobody is sure what is running or how to roll back.

Approach

How we approach it

  1. 1

    Containerise the application with a multi-stage Dockerfile so the production image contains only what it needs.

  2. 2

    Run linting, type checks, and tests on every pull request in GitHub Actions.

  3. 3

    Build and tag an immutable image per commit and push it to a private container registry.

  4. 4

    Promote the same image from staging to production, with a manual approval step before production.

  5. 5

    Use health checks so a failed release is detected and the previous image can be restored quickly.

Architecture

Reference architecture

  1. 01SourceGit repository with protected main branch and required reviews
  2. 02CIGitHub Actions: lint, type-check, test, build image
  3. 03RegistryPrivate registry holding versioned, immutable images
  4. 04StagingAutomatic deploy of every merge for verification
  5. 05ProductionApproved promotion of the verified image, behind NGINX with TLS

Want this approach applied to your system?

Tell us what you are working with today and we will outline how we would adapt this approach.

Discuss Your Project