Article by: Hashira Belén Vargas Candia
Systems Engineering Student – CI/CD & DevOps Focus
Introduction
In modern software development, continuous integration and delivery (CI/CD) are essential for ensuring code quality and fast deployments. Automated testing tools allow test suites to run automatically with every code change. In this article, I will compare two of the most popular tools: GitHub Actions and GitLab CI/CD, providing real configuration examples.
GitHub Actions
Overview
GitHub Actions is the native CI/CD solution integrated directly into GitHub. It allows workflow automation using YAML files in the .github/workflows directory. It is highly flexible, with a marketplace of pre-built actions and support for Docker containers.
Example Configuration
# .github/workflows/run-tests.yml
name: Run Tests
on:
push:
branches: [ main, develop ]
pull_request:
branches: [ main ]
jobs:
test:
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v3
- name: Set up Node.js
uses: actions/setup-node@v3
with:
node-version: '18'
- name: Install dependencies
run: npm ci
- name: Run unit tests
run: npm test
- name: Run integration tests
run: npm run test:integration
- name: Upload coverage reports
uses: codecov/codecov-action@v3
GitLab CI/CD
Overview
GitLab CI/CD is the continuous integration tool included within the GitLab platform. It is configured using a .gitlab-ci.yml file in the repository root. It offers visual pipelines, deployment environments, and deep integration with the DevOps lifecycle.
Example Configuration
# .gitlab-ci.yml
stages:
- test
- deploy
unit_tests:
stage: test
image: node:18-alpine
script:
- npm ci
- npm test
artifacts:
when: always
paths:
- coverage/
reports:
junit: junit.xml
integration_tests:
stage: test
image: node:18-alpine
services:
- postgres:latest
variables:
POSTGRES_DB: test_db
POSTGRES_USER: runner
POSTGRES_PASSWORD: ""
script:
- npm ci
- npm run test:integration
pages:
stage: deploy
script:
- npm run build:coverage
artifacts:
paths:
- public
Detailed Comparison
| Feature | GitHub Actions | GitLab CI/CD |
|---|---|---|
| Native Integration | With GitHub (perfect if you use GitHub) | With GitLab (complete DevOps ecosystem) |
| Configuration Syntax | YAML with reusable actions | YAML with defined stages and jobs |
| Marketplace/Pre-built Actions | Extensive GitHub Marketplace | Reusable templates and components |
| Visual Environments | Basic but functional | More detailed visual pipelines |
| Pricing for Private Repos | 2000 free minutes/month | 400 free minutes/month on SaaS free tier |
| Self-hosted Runners | Yes (runners) | Yes (GitLab runners) |
| Cache and Artifacts | Built-in support | Very robust with configurable storage |
| Kubernetes Integration | Yes (via actions) | Native and very strong |
Real-World Use Case: Testing Pipeline for a REST API
Context
I developed a REST API with Node.js/Express that requires:
Unit tests (Jest)
Integration tests with PostgreSQL
Load testing (optional)
Coverage reports
GitHub Actions Solution
- name: Run load tests
if: github.ref == 'refs/heads/main'
run: |
npm install -g artillery
artillery run load-test.yml
GitLab CI/CD Solution
yaml
performance_tests:
stage: test
only:
- main
script:
- npm install -g artillery
- artillery run load-test.yml
Both tools allow running load tests only on the main branch, optimizing resource usage.
Tool Selection Recommendations
Choose GitHub Actions if:
Your repository is already on GitHub
You need integration with many third-party tools*
You prefer a community-driven actions ecosystem
Your team is small to medium and values simplicity
Choose GitLab CI/CD if:
You already use GitLab for repository management
You need a complete DevOps pipeline (from issues to deploy)
You require native integration with Kubernetes
You work in a large team with auditing and security needs
Conclusion
Both GitHub Actions and GitLab CI/CD are powerful tools for test automation. The choice mainly depends on where your code is hosted and your specific DevOps workflow needs.
GitHub Actions stands out for its simplicity and vast action ecosystem, while GitLab CI/CD offers deeper integration with the full development lifecycle. Both enable robust, scalable, and maintainable testing pipelines.
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