Edwin Salguero
Enterprise: Transform to production-grade architecture with FastAPI, Docker, K8s, monitoring, and comprehensive tooling
832348e
# Production Dockerfile for FRED ML | |
FROM python:3.9-slim | |
# Set environment variables | |
ENV PYTHONUNBUFFERED=1 | |
ENV PYTHONDONTWRITEBYTECODE=1 | |
ENV PIP_NO_CACHE_DIR=1 | |
ENV PIP_DISABLE_PIP_VERSION_CHECK=1 | |
# Set work directory | |
WORKDIR /app | |
# Install system dependencies | |
RUN apt-get update \ | |
&& apt-get install -y --no-install-recommends \ | |
build-essential \ | |
curl \ | |
git \ | |
&& rm -rf /var/lib/apt/lists/* | |
# Copy requirements first for better caching | |
COPY requirements.txt . | |
# Install Python dependencies | |
RUN pip install --no-cache-dir -r requirements.txt | |
# Copy application code | |
COPY . . | |
# Create non-root user | |
RUN useradd --create-home --shell /bin/bash app \ | |
&& chown -R app:app /app | |
USER app | |
# Health check | |
HEALTHCHECK --interval=30s --timeout=30s --start-period=5s --retries=3 \ | |
CMD python -c "import requests; requests.get('http://localhost:8000/health')" || exit 1 | |
# Expose port | |
EXPOSE 8000 | |
# Run the application | |
CMD ["python", "-m", "src.main"] |