Automated Testing & QA Integration
A test suite fast and reliable enough that the team actually believes a red build.
Read moreDevOps & Engineering
CI/CD Pipeline Implementation
A pipeline that verifies, builds once, promotes the same artefact, and proves the deployment worked.
Overview
A pipeline has four jobs: verify the change, build a single artefact, deploy that exact artefact to each environment in turn, and prove it worked. Anything beyond that is optimisation, and should wait until those four are solid.
The most common structural mistake we correct is rebuilding per environment. If staging builds from one branch and production from a tag, you tested one thing and shipped another — dependency resolution alone can make them differ.
What you get
Build once, promote
One immutable artefact per commit, promoted through environments rather than rebuilt for each.
Fast enough to trust
We target a verify stage under five minutes, because a slow pipeline is one people work around.
Secrets kept out
Credentials injected at deploy time from a secret store, with separate credentials per environment.
Rollback that works
A single documented command, tested recently, rather than a theoretical plan.
How we work
- 01
Map
Current build, test and release steps documented, including the manual ones people forgot to mention.
- 02
Build
Verify and build stages implemented with proper dependency caching and parallel jobs.
- 03
Deploy
Environment promotion, health checks, smoke tests and a rollback path we exercise together.
- 04
Harden
Branch protection, required checks, secret scanning and flaky tests fixed or removed.
Common questions
Which CI platform do you recommend?
Usually whichever is closest to where your code already lives. GitHub Actions, GitLab CI and Azure DevOps are all capable enough; the integration friction matters more than the feature list.
Our tests are slow and flaky. Start there?
Yes. A test suite people re-run until it passes trains the team to ignore failures, which is worse than having no tests at all.
How do you measure success?
A new engineer should be able to ship a one-line change on their second day, without a walkthrough and without anyone holding their breath.
Often paired with
Infrastructure as Code (Terraform, CloudFormation)
Every resource defined in code, reviewed in a pull request and applied by a pipeline.
Read moreDevOps Consultancy
An assessment of how your software actually reaches production, and a realistic plan to improve it.
Read moreReady to talk about ci/cd pipeline implementation?
We will tell you what we would do, roughly what it costs, and whether it is worth doing yet.