Analyze and visualize your docker-compose.yml configuration instantly. Understand service dependencies, volumes, networks, and port mappings. Free, private, and browser-based — no login required.
Paste your Docker Compose configuration below to visualize its structure and analyze services, volumes, networks, and dependencies.
Docker Compose is a tool for defining and running multi-container Docker applications using a single YAML file.
Instead of managing individual containers with complex Docker CLI commands, you define your entire application
stack (services, volumes, networks) in a docker-compose.yml file and run it with docker-compose up.
It's essential for local development, testing, and production deployments where you need multiple services (databases, caches, message queues, web servers, APIs) working together.
Services are containers that make up your application. Each service is defined with an image, ports, volumes, environment variables, and networks. Services can communicate with each other using their service names as hostnames.
Volumes persist data between container restarts. Named volumes are managed by Docker; bind mounts connect to directories on the host machine. Essential for databases (MySQL, PostgreSQL), caches (Redis), and application data.
Networks enable communication between services. Docker Compose creates a default network automatically. Custom networks allow service isolation and segmentation (e.g., separating frontend from backend services).
Port mappings expose container ports to the host machine using the format HOST_PORT:CONTAINER_PORT.
For example, 8080:3000 exposes port 3000 inside the container on port 8080 on your machine.
The most common pattern: a web server (Node, Python, PHP) connected to a database (MySQL, PostgreSQL):
version: '3.8' services: web: image: node:18 ports: - ‘3000:3000’ depends_on: - db networks: - app-network environment: DATABASE_URL: postgresql://user:pass@db:5432/myapp db: image: postgres:15 environment: POSTGRES_USER: user POSTGRES_PASSWORD: pass POSTGRES_DB: myapp volumes: - postgres_data:/var/lib/postgresql/data networks: - app-network volumes: postgres_data: networks: app-network:
Separating frontend, API, and database into different networks for isolation:
version: '3.8' services: frontend: image: nginx:latest ports: - ‘80:80’ networks: - frontend api: image: myapp-api:latest ports: - ‘8000:8000’ networks: - frontend - backend depends_on: - database database: image: mysql:8 environment: MYSQL_ROOT_PASSWORD: secret volumes: - mysql_data:/var/lib/mysql networks: - backend volumes: mysql_data: networks: frontend: backend:
version: '3.8' services: app: image: python:3.11 command: python app.py ports: - ‘5000:5000’ depends_on: - redis - db networks: - app-network redis: image: redis:7-alpine ports: - ‘6379:6379’ networks: - app-network db: image: postgres:15 environment: POSTGRES_PASSWORD: secret volumes: - db_data:/var/lib/postgresql/data networks: - app-network volumes: db_data: networks: app-network:
Avoid using latest tags. Instead, specify exact versions: postgres:15.2 instead of postgres:latest.
This ensures consistency across environments and prevents unexpected breaking changes.
Define health checks to ensure services are ready before others depend on them:
db: image: mysql:8 healthcheck: test: [“CMD”, “mysqladmin”, “ping”, “-h”, “localhost”] interval: 10s timeout: 5s retries: 5
Use docker-compose.yml for development and docker-compose.prod.yml for production.
Override configurations per environment (ports, replicas, logging, resources).
Store sensitive data in .env files and reference them in your compose file:
db:
image: mysql:8
environment:
MYSQL_ROOT_PASSWORD: ${MYSQL_ROOT_PASSWORD}
MYSQL_USER: ${MYSQL_USER}
Set CPU and memory limits to prevent container resource hogging:
services: app: image: myapp:latest deploy: resources: limits: cpus: ‘1’ memory: 512M reservations: cpus: ‘0.5’ memory: 256M
Define custom networks instead of relying on the default network. This provides better isolation and control.
Never hardcode passwords in your compose file. Use Docker Secrets (production) or environment variables (development).
Yes. All analysis and visualization happens entirely in your browser. No configuration is sent to any server or stored anywhere. Your YAML file stays 100% private on your machine.
This tool works with Docker Compose version 2.0 and above (YAML format). It extracts and visualizes services, volumes, networks, and port mappings from your configuration.
Yes. The tool handles any size docker-compose file. The visualization adapts to show all services, volumes, and networks in your configuration.
The tool will display an error message if the YAML cannot be parsed. Make sure your indentation and syntax follow YAML standards.
No. This is a visualization and analysis tool only. It does not interact with Docker, execute containers, or run any commands.
docker-compose config outputs the merged configuration. This tool provides a visual diagram showing how services,
volumes, networks, and ports are connected, making it easier to understand the architecture at a glance.