How do you set up a CI/CD pipeline for a Django project (testing, linting, and automated deployment)? Django प्रोजेक्ट के लिए CI/CD पाइपलाइन कैसे सेट करें (टेस्टिंग, लिंटिंग और स्वचालित डिप्लॉयमेंट)?

A CI/CD pipeline (using GitHub Actions, GitLab CI, or Jenkins) automatically runs on every push or pull request, catching problems before they reach production instead of relying on manual review alone. A typical Django pipeline runs linting (flake8, black --check) and static analysis first since they're fast and catch style/syntax issues cheaply, then runs the full test suite against a real database service container, and finally checks test coverage against a minimum threshold.

On a successful merge to the main branch, the CD (continuous deployment) stage builds a new Docker image, pushes it to a registry, and triggers a deployment — often using a rolling or blue-green strategy so the new version is gradually shifted into traffic while the old version keeps serving requests until the new one is confirmed healthy, minimizing risk if the new deploy has a bug.

jobs:
  test:
    services:
      postgres:
        image: postgres:16
    steps:
      - run: pip install -r requirements.txt
      - run: flake8 .
      - run: python manage.py test
      - run: coverage run manage.py test && coverage report --fail-under=80