Docker¶
🔍🐳 Overview¶
Docker is a platform designed to simplify application development and deployment using lightweight, portable containers. Containers bundle an application with all its dependencies and environment configurations, enabling consistent behavior across different systems.
💡 Key Features¶
- Containerizes applications for consistent development and deployment environments
- Isolates services in lightweight containers
- Works across all major OS platforms
- Easily integrates with CI/CD pipelines
- Broad ecosystem with Docker Hub for sharing images
🚀 How I Use It¶
- ✅ Local development environments (e.g., for React apps, Jupyter Notebooks, python scripts, MkDocs, etc.)
- ✅ Docker Compose to manage multi-container setups (e.g., web + database services)
- ✅ Used in projects like Portfolio
- ✅ Containerized data science workflows for reproducibility
⚙️ Setup & Configuration¶
- Install Docker on your OS
- Create a
Dockerfile
to define your environment - Use
docker build
anddocker run
to build and launch containers - Use
docker-compose.yml
for multi-service orchestration
Example docker-compose.yml
for local dev:
version: '3.8'
services:
web:
build: .
ports:
- "3000:3000"
volumes:
- .:/app
environment:
- NODE_ENV=development
📚 Resources¶
- Official Docs
- Docker Hub
- Play with Docker (browser-based Docker sandbox)
- Awesome Docker
🧠 Notes & Tips¶
- Use
.dockerignore
to avoid copying unnecessary files into images - Prefer multi-stage builds to reduce image size
- Learn to tag and push images to Docker Hub or GitLab Container Registry
- Combine with tools like Lazydocker for a better local CLI experience