Generate Docker Compose Files

Visual docker-compose.yml builder with service templates for Postgres, MySQL, Redis, MongoDB, Nginx, Node.js, Python, Elasticsearch, and RabbitMQ.

Build docker-compose.yml files visually using pre-built service templates for popular technologies including Postgres, MySQL, Redis, MongoDB, Nginx, Node.js, Python, Elasticsearch, and RabbitMQ. Configure ports, environment variables, volumes, and depends_on relationships through an intuitive interface; then export valid YAML powered by js-yaml. All processing runs locally in your browser for complete privacy.

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Tutorial

How to Use

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Add a Service from Templates

Click Add Service and pick a template like Postgres, Redis, or Nginx to auto-populate the image, ports, and default environment variables.

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Configure Service Settings

Customize the service name, image tag, port mappings, environment variables, and volume mounts to match your project requirements.

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Set Service Dependencies

Use the Depends On field to declare startup ordering between services so that databases initialize before application containers launch.

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Export or Download the YAML

Review the generated docker-compose.yml output, then copy it to your clipboard or download the file directly to your project directory.

Guide

Complete Guide to Docker Compose

What Is Docker Compose

Docker Compose is a tool for defining and running multi-container Docker applications using a single YAML configuration file. Instead of running individual docker run commands with complex flags, you declare all services, networks, and volumes in one file. This makes environments reproducible across development, testing, and production; any team member can spin up the entire stack with a single docker compose up command.

Service Configuration Essentials

Each service in a docker-compose.yml file specifies an image, port mappings, environment variables, and volumes. Images define the container base; ports expose internal services to the host; environment variables pass configuration like database credentials; volumes persist data beyond container lifecycle. Understanding these four building blocks lets you configure any containerized application correctly and predictably.

Managing Dependencies Between Services

The depends_on directive controls service startup order so databases and message brokers initialize before application containers. However, depends_on only waits for container startup, not service readiness. For production-grade setups, combine depends_on with healthchecks or use wait-for-it scripts to ensure downstream services are fully accepting connections before dependent containers begin processing requests.

Best Practices for Compose Files

Use named volumes instead of bind mounts for database persistence to avoid permission issues across operating systems. Keep environment variables in separate .env files referenced by env_file to avoid committing secrets. Pin image tags to specific versions rather than using latest to ensure reproducible builds. Group related services logically and use profiles to selectively start subsets of services during development.

Examples

Worked Examples

Example: Node.js App with Postgres and Redis

Given: A Node.js application that needs a Postgres database and Redis cache for local development.

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Step 1: Add a Postgres service from the template and set POSTGRES_PASSWORD to devpass.

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Step 2: Add a Redis service from the template with default port 6379.

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Step 3: Add a Node.js service, set the image to node:20, map port 3000:3000, and add depends_on for both postgres and redis.

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Step 4: Click Download to save the docker-compose.yml file.

Result: A valid docker-compose.yml with three services, correct dependency ordering, and default volume mounts for Postgres data persistence.

Example: Nginx Reverse Proxy with Python API

Given: A Python Flask API that needs an Nginx reverse proxy and a MongoDB database.

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Step 1: Add a MongoDB service from the template with a persistent volume for /data/db.

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Step 2: Add a Python service with port 5000:5000 and depends_on set to mongodb.

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Step 3: Add an Nginx service, map port 80:80, and set depends_on to the python service.

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Step 4: Copy the generated YAML output to your project.

Result: A three-service compose file with Nginx routing traffic to the Python API, which connects to MongoDB with persistent storage.

Use Cases

Use Cases

Full-Stack Development Environment

Assemble a complete local development stack with a Node.js application server, a Postgres database, and a Redis cache. The generator handles port mapping and dependency ordering so your app container waits for the database to be ready before starting, eliminating manual YAML editing errors.

Microservices Architecture Prototyping

Quickly scaffold a multi-service architecture with separate containers for an API gateway using Nginx, backend services in Python and Node.js, and shared infrastructure like RabbitMQ for messaging. Visual configuration makes it easy to experiment with different service topologies without memorizing YAML syntax.

Database Migration and Testing Setup

Create isolated database environments for migration testing by spinning up Postgres, MySQL, and MongoDB containers simultaneously. Configure each with specific environment variables and persistent volumes so you can test schema migrations across multiple database engines without affecting production data.

Frequently Asked Questions

?Which service templates are available?

Templates include Postgres, MySQL, Redis, MongoDB, Nginx, Node.js, Python, Elasticsearch, and RabbitMQ; each pre-configured with sensible default settings.

?Can I customize the generated YAML after exporting?

Yes. The output is standard docker-compose.yml syntax. You can copy or download it and edit freely in any text editor before running it.

?Does the tool validate port conflicts between services?

The tool generates the YAML as configured. You should verify that host port mappings do not overlap to avoid conflicts when running docker compose up.

?What Docker Compose version does the output target?

The generated file uses the modern Compose specification format compatible with Docker Compose V2 and the latest Docker Desktop releases.

?Can I add custom services not in the templates?

Yes. Add a blank service and manually specify the image name, ports, environment variables, and volumes for any Docker image you need.

?Is my configuration data private when using this tool?

Yes. All YAML generation runs entirely in your browser using JavaScript. No configuration data is sent to any server, ensuring complete privacy.

?Is this tool free to use?

Yes. This Docker Compose generator is completely free with no usage limits, no registration required, and no restrictions on generated files.

?How do I set up volume persistence for databases?

Use the Add Volume button to map a named volume or host path to the container data directory; for example, pgdata:/var/lib/postgresql/data for Postgres.

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