Docker Compose Tool

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.yml

Paste your Docker Compose configuration below to visualize its structure and analyze services, volumes, networks, and dependencies.

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Service Architecture

What is Docker Compose?

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.

Key Docker Compose Components

Services

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

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

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).

Ports

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.

Common Docker Compose Patterns

Web Application + Database

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:

Multi-tier Microservices Architecture

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:

Development Stack with Redis Caching

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:

Docker Compose Best Practices

1. Use Specific Image Tags

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.

2. Use Health Checks

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

3. Separate Development and Production

Use docker-compose.yml for development and docker-compose.prod.yml for production. Override configurations per environment (ports, replicas, logging, resources).

4. Use Environment Files

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}

5. Define Resource Limits

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

6. Use Explicit Networks

Define custom networks instead of relying on the default network. This provides better isolation and control.

7. Keep Secrets Secure

Never hardcode passwords in your compose file. Use Docker Secrets (production) or environment variables (development).

When to Use This Docker Compose Tool

Frequently Asked Questions

Is my docker-compose.yml private?

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.

What YAML versions are supported?

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.

Can I visualize large docker-compose files?

Yes. The tool handles any size docker-compose file. The visualization adapts to show all services, volumes, and networks in your configuration.

What if my YAML has syntax errors?

The tool will display an error message if the YAML cannot be parsed. Make sure your indentation and syntax follow YAML standards.

Does this execute Docker commands?

No. This is a visualization and analysis tool only. It does not interact with Docker, execute containers, or run any commands.

How is this different from docker-compose config?

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.