How often a team can safely deploy determines almost everything else about how it works. Teams that deploy on demand fix problems in minutes and ship small, low-risk changes. Teams that deploy monthly batch up work, carry more risk per release, and spend the following days recovering. The pipeline is what separates them.

Who this is for

Teams deploying manually or over FTP. Companies where releases require a maintenance window and a rehearsal. Products with no automated tests running before code reaches production. Anyone whose rollback plan is to fix forward and hope.

Problems we solve

Manual deployment. Unrepeatable, undocumented, and dependent on one available person.
No rollback. A bad release fixed forward under pressure at the worst time.
Untested merges. Broken code reaching main because nothing ran before it.
Environment drift. Works locally, fails in production, nobody can reproduce it.
Secrets in the repository. Credentials committed because there was no better mechanism.
Slow pipelines. Builds so slow that people route around them.

What we build

CI pipelines running tests, linting, type checks and security scans on every pull request
Automated deployment on merge, with staging first and promotion to production
One-command rollback to any previous release
Containerised builds, so what is tested is exactly what is deployed
Database migrations run safely as part of deployment, with a reverse path
Secret management outside the repository, scoped per environment
Ephemeral preview environments per pull request where they earn their cost
Deployment notifications and health checks that gate promotion

How we work

We make deployment repeatable first, then add gates. A pipeline nobody trusts gets bypassed, so we keep it fast and keep it honest — a failing build must mean something is actually broken. Rollback is tested as part of setup rather than discovered during an incident. Migrations are designed to be backwards compatible so a rollback does not strand the database ahead of the code.

Technologies we use

GitHub Actions for CI/CD, Docker for build and runtime consistency, automated test suites in Pest, Vitest and Playwright, static analysis and dependency scanning, container registries and staged deployment to AWS or comparable platforms.

Business benefits

Fixes reach production in minutes rather than waiting for a release window
Smaller, more frequent releases carry less risk each
Broken code is caught before merge rather than by customers
Rollback turns a bad deploy into an inconvenience
Deployment stops depending on one person's availability

Where it pays off

Replacing manual or FTP deployment
Adding automated testing to a project that has none in CI
Establishing staging that genuinely matches production
Getting secrets out of a repository safely
Speeding up a pipeline the team has started avoiding

Common questions

How long does it take to set up?

A basic test-and-deploy pipeline is usually days. Where it extends is existing test coverage and untangling environment configuration that was never documented.

What if we have no tests?

We start with the pipeline and smoke tests on critical paths, then add coverage incrementally. Waiting for comprehensive tests before automating deployment means never automating deployment.

Does every project need this?

Anything with more than one developer or more than occasional changes, yes. A static site updated twice a year does not.

Still deploying by hand? The pipeline is the highest-leverage thing to fix first.

DevOps & CI/CD