Learn DOCKER with Real Code Examples
Updated Nov 27, 2025
Practical Examples
Containerize a Node.js REST API
Run a MySQL database container and connect app
Use Docker Compose to run web app + database
Build multi-stage Dockerfile for optimized image
Deploy containers to cloud platforms like AWS ECS or Azure
Troubleshooting
Check logs with `docker logs <container>`
Inspect running containers with `docker ps`
Remove stopped containers/images with `docker rm` / `docker rmi`
Verify ports and networks are properly exposed
Debug build issues by testing Dockerfile layers individually
Testing Guide
Run unit tests inside containers
Test multi-container apps with Compose
Use containerized testing databases
Validate environment consistency across dev/test/prod
Automate tests in CI/CD pipelines using Docker
Deployment Options
Standalone containers on servers
Docker Compose for multi-service applications
Docker Swarm for orchestration
Kubernetes or OpenShift deployment
Cloud container services (AWS ECS, GCP Cloud Run, Azure Container Instances)
Tools Ecosystem
Docker Engine - container runtime
Docker CLI - command-line management
Docker Compose - multi-container orchestration
Docker Hub - container registry
Docker Desktop - GUI management on Windows/macOS
Integrations
CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins)
Container registries (Docker Hub, AWS ECR, GCP Artifact Registry)
Kubernetes for orchestration
Monitoring with Prometheus, Grafana, or ELK stack
Networking tools and service discovery for containers
Productivity Tips
Use multi-stage builds for small images
Keep containers stateless when possible
Use volumes for persistent data
Automate builds and deployments with CI/CD
Regularly prune unused images and containers
Challenges
Learning Docker CLI and command options
Writing efficient Dockerfiles
Managing multi-container dependencies
Networking and volume management
Security best practices and image maintenance