Docker
Deploy BroxiAI integrations using Docker containers for consistent and scalable applications
Learn how to containerize your BroxiAI applications with Docker for consistent deployment across development, staging, and production environments.
Overview
Docker provides:
Consistent environments across all stages
Easy deployment and scaling
Isolated application dependencies
Simplified CI/CD pipelines
Portable containers across platforms
Basic Docker Setup
Dockerfile for BroxiAI Applications
Python Application Dockerfile
# Use official Python runtime as base image
FROM python:3.11-slim
# Set working directory
WORKDIR /app
# Set environment variables
ENV PYTHONDONTWRITEBYTECODE=1 \
PYTHONUNBUFFERED=1 \
DEBIAN_FRONTEND=noninteractive
# Install system dependencies
RUN apt-get update && apt-get install -y \
gcc \
g++ \
curl \
&& rm -rf /var/lib/apt/lists/*
# Copy requirements first for better caching
COPY requirements.txt .
# Install Python dependencies
RUN pip install --no-cache-dir --upgrade pip && \
pip install --no-cache-dir -r requirements.txt
# Copy application code
COPY . .
# Create non-root user for security
RUN useradd --create-home --shell /bin/bash broxi && \
chown -R broxi:broxi /app
USER broxi
# Expose port
EXPOSE 8000
# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
CMD curl -f http://localhost:8000/health || exit 1
# Run application
CMD ["python", "main.py"]Node.js Application Dockerfile
Requirements Files
requirements.txt (Python)
package.json (Node.js)
Multi-Stage Builds
Optimized Production Dockerfile
Multi-Stage Python Build
Multi-Stage Node.js Build
Docker Compose
Development Environment
docker-compose.dev.yml
Production Environment
docker-compose.prod.yml
Container Orchestration
Docker Swarm
Swarm Initialization
Service Configuration
Advanced Docker Patterns
Multi-Architecture Builds
Buildx Configuration
Multi-Architecture Dockerfile
Health Checks and Monitoring
Advanced Health Check
Container Security
Security Hardened Dockerfile
Security Scanning
CI/CD with Docker
GitHub Actions
.github/workflows/docker.yml
GitLab CI/CD
.gitlab-ci.yml
Best Practices
Performance Optimization
Image Optimization
Use multi-stage builds to reduce image size
Leverage Docker layer caching
Use .dockerignore to exclude unnecessary files
Choose appropriate base images (alpine vs slim)
Minimize the number of layers
Runtime Optimization
Set appropriate resource limits
Use health checks for reliability
Implement graceful shutdown handling
Configure proper logging
Monitor container metrics
Security Best Practices
Container Security
Run containers as non-root users
Use official base images
Regularly update base images
Scan images for vulnerabilities
Use minimal base images
Implement proper secret management
Network Security
Use custom networks instead of default bridge
Implement proper firewall rules
Use TLS/SSL for all communications
Limit exposed ports
Regular security audits
Monitoring and Logging
Container Monitoring
Implement comprehensive health checks
Monitor resource usage
Set up alerting for failures
Use centralized logging
Track application metrics
Troubleshooting
Common Issues
Container Startup Issues
Network Issues
Performance Issues
Next Steps
After Docker setup:
Container Orchestration: Move to Kubernetes for advanced orchestration
Monitoring Enhancement: Implement comprehensive observability
Security Hardening: Regular security assessments and updates
Performance Tuning: Optimize for your specific workload
Disaster Recovery: Implement backup and recovery procedures
Related Guides
Kubernetes: Container orchestration
Monitoring: Observability and monitoring
Security: Security best practices
Docker provides a solid foundation for containerizing BroxiAI applications. Follow these patterns for consistent, secure, and scalable deployments across all environments.
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