Overview
A pipeline that "works" isn't the same as a pipeline your team trusts. I build GitLab CI/CD pipelines that catch problems before they ship, deploy predictably, and give you a real rollback path when something does go wrong — because eventually, something will.
What's Included
- Multi-stage pipeline design — build, test, scan, and deploy stages that run in the right order and fail fast
- Automated testing integration — your existing test suite wired in with clear pass/fail reporting on every merge request
- Container build & push — optimized image builds pushed to your registry, tagged consistently
- Staging + production deploy — separate deploy jobs with manual approval gates where you want them
- Slack/email notifications — the team finds out about failed deploys from Slack, not from a customer
Our Process
- Pipeline audit — review of your current build/deploy process (or lack of one) and your GitLab setup.
- Pipeline design — a
.gitlab-ci.ymlstructure proposal covering stages, caching, and environment strategy. - Build & test — pipeline implemented against a real branch, validated end-to-end including a rollback drill.
- Handover — documentation on how the pipeline works and how to extend it for new services.
Who This Is For
Teams deploying manually, running a partially-working pipeline nobody trusts, or migrating from Jenkins/CircleCI to GitLab. Also a good fit if your current pipeline has no rollback path.
FAQ
Do you migrate existing Jenkins pipelines? Yes — I review the existing pipeline logic and rebuild it properly in GitLab CI rather than doing a literal line-by-line port.
What about self-managed GitLab vs GitLab.com? Both are supported. Self-managed runners are set up as part of this engagement if you don't already have them.
Can this deploy to Kubernetes? Yes, including GitOps-style deploys — see ArgoCD / GitOps Setup if you'd rather decouple deploy from the pipeline entirely.