test: stage: test script: - docker run -t $APP_NAME ./run-tests.sh

You can trigger a pipeline via API with a token:

terraform_apply: stage: deploy script: - terraform apply -auto-approve plan.tfplan rules: - if: $CI_COMMIT_BRANCH == "main"

release: stage: release image: node:18 script: - npx semantic-release rules: - if: $CI_COMMIT_BRANCH == "main"

: Mechanisms to pass data between jobs or persist dependencies (like node_modules ) to speed up subsequent runs. Automating the DevOps Lifecycle

stages: - build - test - deploy

unit_tests: stage: test script: - pytest --cov=myapp tests/ coverage: '/TOTAL.+ ([0-9]1,3%)/' artifacts: reports: coverage_report: coverage_format: cobertura path: coverage.xml

GitLab distinguishes itself by offering a single application for the entire DevOps lifecycle. Unlike traditional toolchains that require stitching together separate systems for version control (e.g., GitHub), continuous integration (e.g., Jenkins), and deployment (e.g., Spinnaker), GitLab brings these functionalities under one roof. This convergence eliminates the friction of maintaining integrations and allows teams to focus on writing code rather than configuring tools.

CI/CD isn't just about deployment; it's about . GitLab automates multiple testing layers.