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:

  1. Container Orchestration: Move to Kubernetes for advanced orchestration

  2. Monitoring Enhancement: Implement comprehensive observability

  3. Security Hardening: Regular security assessments and updates

  4. Performance Tuning: Optimize for your specific workload

  5. Disaster Recovery: Implement backup and recovery procedures


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