deployment-patternslisted

# Deployment Patterns for Python Production deployment workflows and CI/CD best practices. ## When to Activate - Setting up CI/CD pipelines for Python projects - Dockerizing Python/Django/FastAPI applications - Planning deployment strategy - Implementing health checks and readiness probes ## Deployment Strategies | Strategy | Use When | Pros | Cons | |----------|----------|------|------| | Rolling | Standard deploys | Zero downtime | Two versions run simultaneously | | Blue-Green | Critical services | Instant rollback | 2x infrastructure | | Canary | Risky changes | Catches issues early | Requires traffic splitting | ## Python Dockerfile ```dockerfile FROM python:3.12-slim AS builder WORKDIR /app RUN pip install --no-cache-dir uv COPY requirements.txt . RUN uv pip install --system --no-cache -r requirements.txt FROM python:3.12-slim AS runner WORKDIR /app RUN useradd -r -u 1001 appuser USER appuser COPY --from=builder /usr/local/lib/python3.12/site-packages /usr/local/lib/python3.12/site-packages COPY --from=builder /usr/local/bin /usr/local/bin COPY . . ENV PYTHONUNBUFFERED=1 EXPOSE 8000 HEALTHCHECK --interval=30s --timeout=3s CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:8000/health/')" || exit 1 CMD ["gunicorn", "config.wsgi:application", "--bind", "0.0.0.0:8000", "--workers", "4"] ``` ## GitHub Actions (Python) ```yaml name: CI/CD on: push: branches: [main] pull_request: branches: [main] jobs: test: runs-on: ub