Container Deployment with Docker
Program Overview
Course Outline
- Week 1-2: Dockerfile best practices and multi-stage builds
- Week 3-4: Docker Compose for local development environments
- Week 5-6: Container networking and service communication
- Week 7-8: Volume management and data persistence strategies
- Week 9-10: Environment variables, secrets, and configuration management
- Week 11-12: Production deployment, monitoring, and log aggregation
Lab Projects
Node.js Express API with PostgreSQL, Redis cache, and Nginx reverse proxy
Flask application with Celery workers, RabbitMQ, and monitoring stack
- Tools covered
- Docker Engine, Docker Compose, Docker Hub, Portainer, and basic CI/CD integration
What You'll Learn
Containers changed how we deploy applications, but most tutorials stop at basic examples. This program focuses on taking applications from development to production using Docker.
You will containerize existing applications, write production-ready Dockerfiles, and orchestrate multi-container setups with Docker Compose. We cover volume management, networking between containers, and environment-specific configurations.
Real deployment challenges
The labs use actual application stacks: a Node.js API with PostgreSQL, a Python Flask app with Redis, and a WordPress site with separate database and cache containers. You will handle database migrations, manage secrets properly, and set up reverse proxies with Nginx.
We also cover Docker registry management, image optimization to reduce build times, and basic troubleshooting when containers fail to start or communicate. The program includes monitoring container resources and implementing health checks that actually work.
This is about making containers work in real environments where things break and you need to fix them quickly.