CI/CD pipelines
Automated build, test and release — so deploying stops being a late-night operation somebody has to be brave about.
Delivery pipeline
Chosen per project
Maintainable handover
Manual deployment has a predictable arc. It works while one person remembers the steps, becomes risky when they are unavailable, and eventually makes the team reluctant to release at all — which is how changes pile up into large, dangerous deployments.
A pipeline inverts that. Every commit is built and tested the same way, releases become small and frequent, and rollback is a defined action rather than an improvisation.
What we build with CI/CD
Replacing manual FTP or SSH deployment
Enforcing tests before anything reaches production
Multiple environments needing consistent releases
Teams where more than one person deploys
Where it fits — and where it does not
Good fit when
More than one person releases the software
Meaningful test coverage exists or is being built
Deployments are frequent enough to be a burden
Rollback needs to be reliable
Consider something else when
A static site deployed twice a year
Projects with no tests, where the pipeline only automates hope
From commit to production
Each stage gates the next. The point is not speed for its own sake — it is that nothing reaches production without passing the same checks every time.
Commit
Change pushed to the repository.
Build
One artefact, built once.
Test
Unit, then integration, fastest first.
Scan
Dependency and secret scanning.
Staging
Deployed and verified automatically.
Production
Promoted, with health checks and rollback.
How we work with CI/CD
Build once, promote
A single artefact built once and promoted through environments, so production runs exactly what was tested.
Fast feedback
The quick checks first — lint and unit tests before slower integration runs — so failures surface in minutes.
Environment parity
Staging configured like production, because a pipeline that passes against a different environment proves little.
Reversible releases
Health checks and a defined rollback, so a bad deploy is an inconvenience rather than an incident.
Our typical CI/CD setup
| Concern | What we use |
|---|---|
| Platform | GitHub Actions, GitLab CI or Azure Pipelines |
| Artefacts | Container images or build bundles, built once and promoted |
| Testing | Unit and integration suites gating every deployment |
| Security | Dependency audit and secret scanning in the pipeline |
| Environments | Staging with parity to production, approval-gated |
| Rollback | Previous artefact redeployable as a single action |
Frequently asked questions
Partly. Automating build and deployment already removes manual error and makes releases repeatable. But a pipeline with no tests only automates the delivery of untested code, so building coverage on critical paths alongside it is what makes it valuable.
A straightforward build-test-deploy pipeline is usually days rather than weeks. Most of the effort goes into environment configuration and secrets handling, not the pipeline definition.
Only if your test coverage genuinely supports it. Most teams are better served by automatic deployment to staging and a one-click promotion to production.
Topics people search for
Services built with CI/CD
Cloud Solutions
Hosting designed around what your application actually needs, with the monitoring and backups that make it safe to rely on.
Software Maintenance
Keeping working systems working — including ones built by somebody else.
Digital Transformation
Moving a business off paper and spreadsheets without stopping the business to do it.
Custom Software Development
Software shaped around the way your business already works, instead of a packaged product you have to reorganise around.
Tell us what you are trying to build
Describe the problem in plain language and we will tell you what it would take to solve it — the approach, the moving parts and the sensible order to build them in. No obligation either way.