GitLab Tutorial
- Curriculum Overview
- 1. Introduction to GitLab
- 2. Architecture & Self-Hosting
- 3. Groups, Projects & Namespaces
- 4. Issue Tracking & Agile
- 5. GitLab CI/CD Basics
- 6. GitLab Runners & Executors
- 7. Environments & Deployments
- 8. Merge Requests & Code Review
- 9. GitLab Container Registry
- 10. Package & Infra Registry
- 11. Security & Compliance
- 12. Monitoring & Analytics (DORA)
- 13. GitLab Pages Hosting
- 14. APIs, Webhooks & Integrations
- 15. GitLab Workflow & Best Practices
GitLab Mastery: The Complete DevSecOps Platform & CI/CD Pipeline Guide
GitLab is the complete, single-application DevSecOps platform that unites developers, security engineers, and operations teams under one collaborative umbrella. Unlike fragmented toolchains that bolt together separate services for issue tracking, code reviews, container builds, and security scans, GitLab delivers end-to-end continuous integration and deployment from a single data store. This authoritative 15-chapter curriculum covers GitLab architecture, scalable GitLab Runners, declarative .gitlab-ci.yml workflows, ephemeral Review Apps, built-in container registries, and enterprise compliance.
Eliminate integration silos by planning sprints, managing code, running CI/CD, and monitoring production environments all within a single unified platform.
Execute concurrent build pipelines efficiently with flexible GitLab Runners running on Shell, Docker, or Kubernetes clusters.
Automate SAST, DAST, container scanning, and secret detection directly inside Merge Request widgets before code reaches production.
1. Single Application DevSecOps vs. Fragmented Toolchains
Modern enterprises evaluate whether to stitch together best-of-breed disparate tools or standardize on GitLab's unified architecture:
| Capability Area | Fragmented Toolchain Stack | GitLab Unified Platform |
|---|---|---|
| Project Planning & Sprints | Jira / Trello (requires syncing plugins) | Native GitLab Issue Boards, Epics & Roadmaps |
| Source Code Hosting | GitHub / Bitbucket | Native Git repository hosting with granular permissions |
| CI/CD Automation | Jenkins / CircleCI (requires webhook integration) | Native GitLab CI/CD with auto-scaling runners |
| Security & Vulnerability Scanning | Snyk / SonarQube / Veracode (separate licenses) | Built-in SAST, DAST, Dependency & Secret Scanning |
| Package & Container Registry | Artifactory / Docker Hub / AWS ECR | Built-in Docker, NPM, PyPI, Maven & Terraform Registries |
| Operational Overhead | High; multiple vendors, APIs, and token syncs | Low; single codebase, unified billing, and centralized RBAC |
2. GitLab Runner Architecture & Executor Models
GitLab separates the coordinator (the GitLab web server) from the build execution agents (GitLab Runners). Selecting the appropriate executor determines pipeline isolation and throughput:
Shell Executor
Runs jobs directly on the host machine. Minimal overhead, but zero isolation between builds.
Docker Executor
Spawns a clean container image for each job. Perfect reproducibility, complete filesystem isolation.
Kubernetes Executor
Dynamically creates temporary Pods inside a Kubernetes cluster, scaling from 0 to 1,000+ parallel jobs.
3. Production Blueprint: Enterprise `.gitlab-ci.yml` Pipeline
A production-ready pipeline configuration demonstrating multi-stage execution, dependency caching, automated SAST security scanning, and conditional deployment rules:
# Enterprise GitLab CI/CD Pipeline
image: node:20-alpine
stages:
- lint
- test
- security
- build
- deploy
variables:
npm_config_cache: "$CI_PROJECT_DIR/.npm"
cache:
key:
files:
- package-lock.json
paths:
- .npm/
# Stage 1: Static Code Quality
lint_code:
stage: lint
script:
- npm ci --prefer-offline
- npm run lint
# Stage 2: Automated Unit Testing
unit_tests:
stage: test
script:
- npm ci --prefer-offline
- npm test -- --coverage
artifacts:
when: always
reports:
junit: junit.xml
coverage_report:
coverage_format: cobertura
path: coverage/cobertura-coverage.xml
# Stage 3: Shift-Left Security Scans
include:
- template: Security/SAST.gitlab-ci.yml
- template: Security/Secret-Detection.gitlab-ci.yml
# Stage 4: Production Build
build_app:
stage: build
script:
- npm ci --prefer-offline
- npm run build
artifacts:
paths:
- dist/
expire_in: 1 week
# Stage 5: Deployment to Production Environment
deploy_production:
stage: deploy
environment:
name: production
url: https://app.example.com
script:
- echo "Deploying to production cloud cluster..."
rules:
- if: '$CI_COMMIT_BRANCH == "main"'
when: manual4. Complete Curriculum Directory (15 Comprehensive Modules)
A comprehensive three-phase pathway from setup to advanced CI/CD, registries, and DevSecOps governance.
Phase 1: Architecture, Projects & Agile Planning (Chapters 1–4)
Phase 2: CI/CD Pipelines, Runners & Registries (Chapters 5–10)
Phase 3: DevSecOps, DORA Metrics & Enterprise Governance (Chapters 11–15)
Frequently Asked Questions: Modern GitLab Engineering
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