Docker & Kubernetes: A Production Deployment Guide
Learn how to containerize your applications with Docker and deploy them to production using Kubernetes, with best practices for monitoring and scaling.
From Development to Production
Containerization has become the standard for deploying modern applications. Docker provides consistent environments across development and production, while Kubernetes orchestrates containers at scale, handling load balancing, auto-scaling, and self-healing.
Docker Best Practices
Use multi-stage builds to minimize image size, never run containers as root, use specific version tags instead of 'latest', and scan images for vulnerabilities as part of your CI pipeline.
# Multi-stage Docker build example
FROM python:3.12-slim AS builder
WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
FROM python:3.12-slim
COPY --from=builder /usr/local/lib/python3.12 /usr/local/lib/python3.12
COPY . .
CMD ["gunicorn", "config.wsgi", "--bind", "0.0.0.0:8000"]Monitoring & Observability
Implement the three pillars of observability: metrics (Prometheus + Grafana), logging (ELK Stack or Loki), and tracing (Jaeger or OpenTelemetry). This gives you complete visibility into your application's health and performance.