CI/CD Pipeline Setup (GitHub Actions, GitLab)

I design and build CI/CD pipelines in GitHub Actions and GitLab CI that take your code from commit to production automatically: test, lint, and build stages that block broken code, Docker images built and pushed to a registry (GHCR, GitLab Registry, or Docker Hub), and deployments to wherever you run — a VPS over SSH, AWS, or Vercel. Development teams in Dubai, Abu Dhabi, and Sharjah that still deploy by hand lose hours every release and gamble on human error; a pipeline turns that into a few minutes of unattended automation per merge.

The setup includes the guardrails that make automation safe, not just fast: secrets stored in GitHub or GitLab encrypted secrets rather than in the repo, branch protection rules so nothing reaches main without passing checks and review, per-branch preview environments for QA, and a rollback strategy — tagged releases and a one-click redeploy of the previous version — so a bad deploy is a two-minute fix, not a late-night emergency.

For free-zone and mainland SMEs in the UAE, this work usually pays for itself within the first month in recovered developer time alone: a team shipping daily saves dozens of manual deployment hours, and fewer production incidents means fewer AED lost to downtime.

How it works

1. 1
   Pipeline audit

   I map how you currently build, test, and deploy, and identify what must pass before code is allowed into production.

2. 2
   Build the stages

   Workflows are written and tested on a branch in your repo — lint, tests, Docker build, registry push — without touching your live process.

3. 3
   Connect deployment

   Secrets, environments, and deploy jobs go in; we run a supervised first deploy end-to-end together.

4. 4
   Hardening & handover

   Branch protection, rollback runbook, and a walkthrough so your team can extend the pipeline without me.