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You mentioned Docker, CI/CD, GitHub Actions, GitLab — can you elaborate on what exactly you did, which pipelines, what was in the containers?
sobes.tech AI
Answer from AI
In projects, I used Docker for containerizing applications, which allowed creating reproducible and isolated environments. Typically, a frontend server (such as nginx or node.js), project build, and tests were run inside containers.
For automating CI/CD processes, I set up pipelines in GitHub Actions and GitLab CI. These included the following steps:
- Building the project (npm install, webpack build, etc.)
- Running unit and integration tests
- Linting and code quality checks
- Building Docker images and publishing to a registry
- Deploying to testing or production servers
An example of a simple GitHub Actions workflow for the frontend:
name: CI
on: [push]
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Install dependencies
run: npm install
- name: Run tests
run: npm test
- name: Build
run: npm run build
- name: Build Docker image
run: docker build -t my-frontend:latest .
- name: Push Docker image
run: |
echo ${{ secrets.DOCKER_PASSWORD }} | docker login -u ${{ secrets.DOCKER_USERNAME }} --password-stdin
docker push my-frontend:latest
Thus, automation of building, testing, and delivering the frontend application was ensured.