GitLab CI

GitLab CI/CD keeps the whole delivery path in one application — repositories, pipelines, the container registry, and environments. I define pipelines in `.gitlab-ci.yml` with stages that run builds, tests, and deploys reproducibly.

I use GitLab's strengths deliberately: the built-in container registry feeding deployments, environment/integration with approvals, and cached artifacts that keep pipelines fast.

Because code and pipeline live together, change requests carry their own pipeline expectations, and the merge-gate model keeps main continuously deployable.

Single-application integration is the quiet win. Repos, pipelines, the registry, and environments share one surface, so CI/CD is not a patchwork of disconnected tools but a coherent delivery path a team can actually operate.

Stage-based pipelines bring real control flow. I break the delivery into named stages — build, test, deploy — with clear dependencies and artifacts passed between them, so the pipeline reads like the release ceremony it automates.

The built-in container registry feeds deployments directly. Building an image and promoting it through environments within the same application keeps the artifact and its deploy path together and auditable.

Caching, artifacts, and DAG pipelines keep the suite fast. Work that can run in parallel does, and what a later stage needs is passed as an artifact rather than rebuilt — speed without giving up the ordering that correctness requires.

Approvals and checks plug into merge requests. The pipeline can gate a merge, and environments can require approval before promotion, so "okay to ship" is a decision enforced by the platform rather than a ritual.

Because the pipeline lives with the code, every change request ships its own delivery expectations and main stays continuously deployable — the coherent single-application model done well.

I define pipelines in `.gitlab-ci.yml` as named stages, so the delivery reads like the release ceremony it automates rather than a tangled script.

Single-application integration is the quiet win. Repos, pipelines, the container registry, and environments share one surface, so CI/CD is a coherent path a team actually operates.

The built-in registry feeds deployments directly. An image built and promoted through environments within the same application keeps the artifact and its deploy path together.

Caching and artifacts keep the suite fast. Work that can run in parallel does; what a later stage needs is passed as an artifact rather than rebuilt.

Approvals and checks plug into merge requests. The pipeline can gate a merge, and environments can require approval before promotion, so "okay to ship" is a decision enforced by the platform.

Secrets live in the protected variable store, injected at deploy time and never committed to the pipeline source.

DAG pipelines express dependency correctly, so parallel work is safe and ordered where ordering matters.

Because the pipeline lives with the code, every merge request ships its delivery expectations and main stays continuously deployable.

Operator confidence comes from reproducibility: the same pipeline run produces the same, known outcome every time.