GitLab CI/CD
Complete DevOps platform integrating code management, continuous integration, and automated deployment in a unified tool.
Updated on January 19, 2026
GitLab CI/CD is an all-in-one DevOps solution that combines a Git version control system with continuous integration and continuous deployment capabilities. Unlike solutions requiring multiple tools, GitLab offers a unified experience from code to production. This integrated approach reduces operational complexity and improves traceability across the entire software lifecycle.
GitLab CI/CD Fundamentals
- Pipeline as Code: declarative configuration via .gitlab-ci.yml file versioned with source code
- Distributed runners: execution agents capable of running on various infrastructures (cloud, on-premise, Kubernetes)
- Modular architecture: stages, jobs, and artifacts enabling complex workflow structuring
- Native integration: repository management, issues, merge requests, and CI/CD in a single interface
Strategic Benefits
- Complete DevOps cycle visibility from planning through post-deployment monitoring
- Infrastructure cost reduction through intelligent caching and runner sharing
- Integrated security with native vulnerability scanning, compliance, and secrets management
- Horizontal scalability supporting thousands of simultaneous pipelines
- Auto DevOps: preconfigured templates for automatic deployment without manual configuration
- Compliance and audit: complete traceability of deployments and code changes
GitLab CI/CD Pipeline Example
stages:
- build
- test
- security
- deploy
variables:
DOCKER_DRIVER: overlay2
NODE_ENV: production
# Template to avoid repetition
.node-template: &node-template
image: node:18-alpine
cache:
key: ${CI_COMMIT_REF_SLUG}
paths:
- node_modules/
before_script:
- npm ci --prefer-offline
build:app:
<<: *node-template
stage: build
script:
- npm run build
- npm run lint
artifacts:
paths:
- dist/
expire_in: 1 week
only:
- merge_requests
- main
test:unit:
<<: *node-template
stage: test
coverage: '/Statements\s*:\s*(\d+\.\d+)%/'
script:
- npm run test:coverage
artifacts:
reports:
coverage_report:
coverage_format: cobertura
path: coverage/cobertura-coverage.xml
security:sast:
stage: security
image: returntocorp/semgrep
script:
- semgrep --config=auto --json -o sast-report.json
artifacts:
reports:
sast: sast-report.json
allow_failure: true
deploy:staging:
stage: deploy
image: alpine:latest
before_script:
- apk add --no-cache curl
script:
- |
curl -X POST "$DEPLOY_WEBHOOK_URL" \
-H "Authorization: Bearer $DEPLOY_TOKEN" \
-d "{\"environment\":\"staging\",\"version\":\"$CI_COMMIT_SHA\"}"
environment:
name: staging
url: https://staging.example.com
on_stop: stop:staging
only:
- main
stop:staging:
stage: deploy
script:
- echo "Stopping staging environment"
when: manual
environment:
name: staging
action: stop
deploy:production:
stage: deploy
extends: deploy:staging
script:
- |
curl -X POST "$DEPLOY_WEBHOOK_URL" \
-H "Authorization: Bearer $DEPLOY_TOKEN" \
-d "{\"environment\":\"production\",\"version\":\"$CI_COMMIT_SHA\"}"
environment:
name: production
url: https://example.com
only:
- tags
when: manualStructured Implementation
- Install and configure GitLab Runner (Docker, Kubernetes, or shell executor based on infrastructure)
- Create .gitlab-ci.yml file at project root with stages and jobs definition
- Configure CI/CD variables (Settings > CI/CD > Variables) to store secrets and configuration
- Define environments and their URLs in Deployments section to enable tracking
- Implement merge request pipelines to validate code before merging
- Configure branch protection rules and required approvals
- Enable security features (SAST, DAST, dependency scanning) via templates
- Set up monitoring with Prometheus/Grafana integration to track metrics
Performance Optimization
Use GitLab Runner tags to route jobs to specialized runners (GPU, high memory) and enable distributed caching via object storage (S3, GCS) to reduce build time by up to 70%. Include templates allow factorizing configuration and maintaining consistency across projects.
Ecosystem and Integrations
- Kubernetes: native deployment with Auto DevOps and cluster integration
- Terraform: infrastructure provisioning with state stored in GitLab
- Jira/ServiceNow: bidirectional synchronization of issues and incidents
- Slack/Teams: real-time notifications on pipeline status
- HashiCorp Vault: centralized secrets management with automatic rotation
- Prometheus/Grafana: CI/CD metrics and deployment observability
- Trivy/Snyk: container and dependency vulnerability analysis
GitLab CI/CD transforms team velocity by eliminating silos between development and operations. The all-in-one approach reduces licensing and training costs while improving collaboration through unified visibility. Large enterprises particularly appreciate compliance features, self-hosting for data sovereignty, and proven scalability across thousands of simultaneous projects.
