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Docker Compose Generator

Build a ready-to-use docker-compose.yml file for a common app stack. Choose services, adjust ports, volumes, and environment settings, then copy or download the generated Compose YAML.

Generated docker-compose.yml


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Docker Compose Generator — Create docker-compose.yml Files for Any Stack

Docker Compose is the standard tool for defining and running multi-container Docker applications. Instead of starting each container individually with long docker run commands full of flags, environment variables, port mappings, and volume mounts, you describe your entire application stack in a single docker-compose.yml file. Run docker compose up, and Compose starts all your services in the correct order, connects them on a shared network so they can communicate by service name, and mounts any volumes for persistent data. Run docker compose down and everything stops cleanly. The same file works for every developer on your team — no more "it works on my machine" because everyone runs the same environment.

This generator lets you select the services you need, configure the key options for each, and produces a valid, ready-to-use docker-compose.yml file you can copy or download directly into your project. It handles the boilerplate structure so you can focus on adjusting the configuration for your specific application.

The Core Docker Compose Building Blocks

A Compose file is organized around three top-level sections:

Services: Each service is one container. You specify the Docker image to use (or a build context if building locally), environment variables, port mappings between the host and container, volume mounts, restart policies, and health checks. Services that need to start after others use depends_on to declare ordering. Services can also reference a build key with a path to a Dockerfile instead of a pre-built image.

Volumes: Named volumes provide persistent storage that survives container restarts and removals. Without volumes, a database container loses all data when it's stopped. Bind mounts (mapping a host directory into a container) are used in development to sync your local code changes into the running container without rebuilding the image.

Networks: Compose automatically creates a default network for the project and attaches all services to it. Services on the same network can reach each other using the service name as the hostname — your app container connects to a MySQL service at hostname mysql, not a dynamic IP address. Custom named networks let you isolate groups of services from each other within the same Compose file.

Common Application Stacks and Their Compose Structure

PHP + MySQL stack: Two services — an app service using a PHP-FPM image with a bind mount to your code directory, and a MySQL service using the official MySQL image with a named volume for database data and environment variables for credentials. Optionally add Nginx as a third service to handle HTTP requests and proxy them to PHP-FPM.

Node.js + PostgreSQL stack: A Node app service built from a local Dockerfile (to install dependencies and configure the runtime) and a PostgreSQL service. The app service uses depends_on to wait for the database service to be healthy before starting. Environment variables pass the database connection string to the Node app.

Full LAMP/LEMP stack: Nginx (or Apache) + PHP-FPM + MySQL + Redis — a four-service Compose file covering the web server, application runtime, relational database, and cache/session store. All services share a default network. Nginx communicates with PHP-FPM over a Unix socket or TCP connection, both running in different containers.

Frontend + Backend + Database: A React or Vue frontend (built and served by Nginx), a separate backend API service (Node, Python, or PHP), and a database — all in one Compose file. Port mappings expose the frontend on port 80 and optionally the API on a separate port for direct testing.

Development vs. Production — Important Differences

Compose files are optimized primarily for development and local testing environments. Before deploying a Compose-based setup to production, several important differences apply:

Bind mounts vs. named volumes: In development, bind mounts sync your local code directory into the container so changes are reflected immediately without rebuilding. In production, bind mounts to host directories create dependencies on host filesystem layout — use named volumes or build the application code directly into the image instead.

Secrets management: Never hardcode passwords, API keys, or other secrets directly in the Compose YAML file. Use an .env file in the project directory (excluded from version control via .gitignore) for local development. For production deployments, use Docker secrets, your platform's secrets management service (AWS Secrets Manager, HashiCorp Vault, Kubernetes Secrets), or environment-specific override files.

Multiple Compose files: The -f flag lets you specify multiple Compose files that are merged together. A common pattern is a base docker-compose.yml with shared service definitions, a docker-compose.override.yml that automatically applies for local development, and a docker-compose.prod.yml applied explicitly for production with different volume and restart settings.

Health checks and restart policies: Production Compose deployments should include health checks on critical services so Compose can detect and respond to unhealthy containers, and restart: always or restart: unless-stopped policies so containers automatically restart after crashes or reboots.

Frequently Asked Questions About Docker Compose

It's a development starting point, not a production-ready configuration. Production Compose files typically need health checks, proper restart policies, Docker secrets for credentials, named volumes instead of bind mounts, and often separate override files for environment-specific settings. Review and harden the generated file before deploying to any environment that handles real user traffic or sensitive data.
Docker Compose v1 was a standalone Python tool invoked as docker-compose. Docker Compose v2 is a Go rewrite integrated directly into the Docker CLI as a plugin, invoked as docker compose (no hyphen). V2 is faster, has better support for Compose spec features, and is now the default on modern Docker Desktop and recent Docker Engine installations. The YAML file format is broadly compatible between versions — the generated file works with both.
Use an .env file in the same directory as your Compose file. Compose automatically loads it and makes the variables available for substitution in the Compose file using ${VARIABLE_NAME} syntax. Add .env to your .gitignore so secrets are never committed to version control. For production deployments, use Docker secrets or your orchestrator's native secrets management (Kubernetes Secrets, AWS Secrets Manager, etc.) instead of environment files.
Compose automatically creates a default network and connects all services to it. Services can reach each other using the service name as the hostname. For example, if your database service is named mysql, your app container connects to it at hostname mysql on port 3306. You don't need to know or configure IP addresses. You can also define custom named networks to isolate groups of services from each other within the same Compose file.
A bind mount maps a specific path on your host machine into the container — useful in development for syncing your source code so changes reflect immediately without rebuilding. A named volume is managed by Docker and stored in Docker's own storage area — better for database data, because it persists across container restarts and rebuilds, and isn't tied to a specific path on the host. Use bind mounts for source code in development; use named volumes for database and persistent application data.
No. This tool runs entirely in your browser and only generates YAML text. It doesn't connect to Docker, doesn't pull images, and doesn't interact with your machine in any way. You copy the generated file, save it as docker-compose.yml in your project directory, and then run docker compose up from your own terminal with Docker installed.