10 GitHub Actions Workflows for Development Teams

As development teams continue to grow and evolve, the need for efficient and automated workflows becomes increasingly important. This is where GitHub Actions comes in – a powerful tool that allows you to automate your software development workflow right within your repository.

In this article, we’ll explore 10 GitHub Actions Workflows that can be customized to fit the needs of your development team. From code quality checks to deployment automation, these workflows will help streamline your development process and improve overall productivity.

1. Code Quality Check

The first workflow we’ll discuss is a basic code quality check. This workflow uses tools like ESLint (for JavaScript) or PyLint (for Python) to scan your code for errors and warnings.

“`yml
name: Code Quality Check

on:
push:

jobs:
build-and-test:
runs-on: ubuntu-latest
steps:
– name: Checkout code
uses: actions/checkout@v2
– name: Run ESLint
run: npm install && eslint .
“`

This workflow checks the code for errors and warnings, providing a quick feedback loop to developers.

2. Automated Testing

Automated testing is a crucial step in any development workflow. This workflow uses tools like Jest (for JavaScript) or Pytest (for Python) to run automated tests on your code.

“`yml
name: Automated Testing

on:
push:

jobs:
test:
runs-on: ubuntu-latest
steps:
– name: Checkout code
uses: actions/checkout@v2
– name: Install dependencies
run: npm install
– name: Run tests
run: jest
“`

This workflow automates testing, ensuring that changes to your code don’t break existing functionality.

3. Code Formatting

Code formatting is an essential step in maintaining a clean and consistent codebase. This workflow uses tools like Prettier (for JavaScript) or Black (for Python) to format your code.

“`yml
name: Code Formatting

on:
push:

jobs:
format:
runs-on: ubuntu-latest
steps:
– name: Checkout code
uses: actions/checkout@v2
– name: Install Prettier
run: npm install prettier –save-dev
– name: Run Prettier
run: npx prettier –write .
“`

This workflow formats your code, ensuring a consistent and readable style throughout.

4. Docker Image Build

When working with containers, it’s essential to automate the build process. This workflow uses tools like Docker to build a container image for your application.

“`yml
name: Docker Image Build

on:
push:

jobs:
build:
runs-on: ubuntu-latest
steps:
– name: Checkout code
uses: actions/checkout@v2
– name: Login to Docker Hub
run: docker login -u ${{ secrets.DOCKER_USERNAME }} -p ${{ secrets.DOCKER_PASSWORD }}
– name: Build Docker image
run: docker build -t myimage .
“`

This workflow builds a container image for your application, making it easy to deploy and manage.

5. Kubernetes Deployment

When working with cloud platforms like Kubernetes, it’s essential to automate the deployment process. This workflow uses tools like Helm to deploy your application to a Kubernetes cluster.

“`yml
name: Kubernetes Deployment

on:
push:

jobs:
deploy:
runs-on: ubuntu-latest
steps:
– name: Checkout code
uses: actions/checkout@v2
– name: Login to Docker Hub
run: docker login -u ${{ secrets.DOCKER_USERNAME }} -p ${{ secrets.DOCKER_PASSWORD }}
– name: Build and push image
run: docker build -t myimage . && docker tag myimage ${{ secrets.DOCKER_HUB_URL }}/myimage:latest && docker push ${{ secrets.DOCKER_HUB_URL }}/myimage:latest
“`

This workflow deploys your application to a Kubernetes cluster, making it easy to manage and scale.

6. CI/CD

CI/CD is the holy grail of development workflows. This workflow uses tools like Jenkins or GitLab CI to automate the entire build-deploy cycle.

“`yml
name: CI/CD

on:
push:

jobs:
ci-cd:
runs-on: ubuntu-latest
steps:
– name: Checkout code
uses: actions/checkout@v2
– name: Run automated tests
run: npm install && jest
– name: Build Docker image
run: docker build -t myimage .
“`

This workflow automates the entire build-deploy cycle, ensuring that changes to your code are quickly and reliably deployed.

7. Automated Release

Automated release is an essential step in maintaining a consistent development workflow. This workflow uses tools like Jenkins or GitLab CI to automate the release process.

“`yml
name: Automated Release

on:
push:

jobs:
release:
runs-on: ubuntu-latest
steps:
– name: Checkout code
uses: actions/checkout@v2
– name: Run automated tests
run: npm install && jest
– name: Build Docker image
run: docker build -t myimage .
“`

This workflow automates the release process, ensuring that new versions of your application are quickly and reliably deployed.

8. Security Audit

Security audit is an essential step in maintaining a secure development workflow. This workflow uses tools like OWASP ZAP to automate security audits on your code.

“`yml
name: Security Audit

on:
push:

jobs:
audit:
runs-on: ubuntu-latest
steps:
– name: Checkout code
uses: actions/checkout@v2
– name: Run OWASP ZAP scan
run: zap full-scan –format=json .
“`

This workflow automates security audits on your code, ensuring that vulnerabilities are quickly and reliably identified.

9. Compliance Check

Compliance check is an essential step in maintaining a compliant development workflow. This workflow uses tools like SonarQube to automate compliance checks on your code.

“`yml
name: Compliance Check

on:
push:

jobs:
check:
runs-on: ubuntu-latest
steps:
– name: Checkout code
uses: actions/checkout@v2
– name: Run SonarQube scan
run: sonar-scanner .
“`

This workflow automates compliance checks on your code, ensuring that changes to your code are quickly and reliably reviewed.

10. Code Review

Code review is an essential step in maintaining a high-quality development workflow. This workflow uses tools like GitHub Codespaces to automate code reviews on your code.

“`yml
name: Code Review

on:
push:

jobs:
review:
runs-on: ubuntu-latest
steps:
– name: Checkout code
uses: actions/checkout@v2
– name: Run code review
run: codespaces-run .
“`

This workflow automates code reviews on your code, ensuring that changes to your code are quickly and reliably reviewed.

In conclusion, these 10 GitHub Actions Workflows can be customized to fit the needs of your development team. From code quality checks to deployment automation, these workflows will help streamline your development process and improve overall productivity.