gitlab-cicd-pipeline
Design and implement GitLab CI/CD pipelines with stages, jobs, artifacts, and caching. Configure runners, Docker integration, and deployment strategies.
What this skill does
# GitLab CI/CD Pipeline
## Table of Contents
- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#best-practices)
## Overview
Create comprehensive GitLab CI/CD pipelines that automate building, testing, and deployment using GitLab Runner infrastructure and container execution.
## When to Use
- GitLab repository CI/CD setup
- Multi-stage build pipelines
- Docker registry integration
- Kubernetes deployment
- Review app deployment
- Cache optimization
- Dependency management
## Quick Start
Minimal working example:
```yaml
# .gitlab-ci.yml
image: node:18-alpine
variables:
DOCKER_DRIVER: overlay2
FF_USE_FASTZIP: "true"
stages:
- lint
- test
- build
- security
- deploy-review
- deploy-prod
cache:
key: ${CI_COMMIT_REF_SLUG}
paths:
- node_modules/
- .npm/
lint:
stage: lint
script:
- npm install
// ... (see reference guides for full implementation)
```
## Reference Guides
Detailed implementations in the `references/` directory:
| Guide | Contents |
|---|---|
| [Complete Pipeline Configuration](references/complete-pipeline-configuration.md) | Complete Pipeline Configuration |
| [GitLab Runner Configuration](references/gitlab-runner-configuration.md) | GitLab Runner Configuration |
| [Docker Layer Caching Optimization](references/docker-layer-caching-optimization.md) | Docker Layer Caching Optimization |
| [Multi-Project Pipeline](references/multi-project-pipeline.md) | Multi-Project Pipeline |
| [Kubernetes Deployment](references/kubernetes-deployment.md) | Kubernetes Deployment, Performance Testing Stage, Release Pipeline with Semantic Versioning |
## Best Practices
### ✅ DO
- Use stages to organize pipeline flow
- Implement caching for dependencies
- Use artifacts for test reports
- Set appropriate cache keys
- Implement conditional execution with `only` and `except`
- Use `needs:` for job dependencies
- Clean up artifacts with `expire_in`
- Use Docker for consistent environments
- Implement security scanning stages
- Set resource limits for jobs
- Use merge request pipelines
### ❌ DON'T
- Run tests serially when parallelizable
- Cache everything unnecessarily
- Leave large artifacts indefinitely
- Store secrets in configuration files
- Run privileged Docker without necessity
- Skip security scanning
- Ignore pipeline failures
- Use `only: [main]` without proper controls
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