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March 12, 2026 · 1 min

CI/CD with GitLab for a Pet-Tech SaaS

CI/CDGitLabAWS

The best compliment a deploy pipeline can get is that nobody thinks about it. At Happy Pet Tech, shipping to production should feel like a non-event - and getting there was deliberate work.

The goal: boring releases

A good pipeline makes releasing so safe and repeatable that you do it often. Fear of deploying is what leads to giant, risky, once-a-month releases. The fix is the opposite - small, frequent, automated.

Our GitLab CI/CD pipeline runs every change through the same path:

  1. Build - install, compile, build the app and container image.
  2. Test - lint and automated checks fail fast, before anything ships.
  3. Deploy - staged rollout to AWS, not a big-bang switch.
  4. Rollback - one move back to the last known-good when something looks off.

Stages, not a switch

Flipping all of production at once is how a small bug becomes a big outage. Staged deploys mean a release reaches a slice first; if metrics hold, it continues. If not, it stops before most users ever see it.

Rollback is a feature, not a panic button

Every deploy is built to be reversible. When something’s wrong at 2 AM, the answer isn’t “debug live in production” - it’s “roll back, restore service, then investigate calmly in the morning.” Designing for rollback up front changes how stressful on-call feels.

Multi-region reality

With businesses live across India, the UAE, Australia, the Philippines, and Thailand, “it works on my machine” isn’t enough. The pipeline produces one artifact, deployed the same way everywhere, so regions don’t drift apart and surprise you.

The payoff

The win isn’t the tooling - it’s the culture it enables. When releases are boring, the team ships features instead of fearing Fridays. That’s the whole point of DevOps.

M
Manthan T.
Systems Engineer · mnthan.com