Dockerized - Medusa Server Stack with PostgreSQL, Minio, MeiliSearch, and Stripe Payment Gateway

A dockerized version of Medusa Server Stack with Traefik, PostgreSQL, Minio, MeiliSearch, and Stripe Payment Gateway.

Required

• docker and
• docker-compose

Stack Components

The Medusa server stack consists of the following components:

• Traefik + Dashboard: A popular reverse proxy and load balancer.
• PostgreSQL: A powerful and open-source relational database system.
• Minio: An open-source object storage server compatible with Amazon S3 APIs.
• MeiliSearch: A fast and easy-to-use search engine.
• Stripe Payment Gateway: A payment gateway that allows you to accept payments securely and easily.

Deploy

To deploy the Medusa server stack on your VPS, follow these steps:

Clone the repository to your VPS.

git clone [email protected]:beakman/medusa-stack-dockerized.git

Navigate to the medusa-stack-dockerized directory.

cd medusa-stack-dockerized

Initialize the git submodule for the medusa-starter.

git submodule update --init --recursive

Create a .env file from the .env.example file and set your environment variables.

cp .env.example .env
vim .env

Environment variables

• MEDUSA_DOMAIN=example.com
• MINIO_DOMAIN=minio.example.com
• MINIO_CONSOLE_DOMAIN=minio-console.example.com
• MEILI_DOMAIN=search.example.com
• TRAEFIK_DOMAIN=traefik.example.com
• EMAIL=[email protected]
• CERT_RESOLVER=letsencrypt
• CLOUDFLARE_EMAIL=
• CLOUDFLARE_API_KEY=
• CLOUDFLARE_DNS_API_TOKEN=
• TRAEFIK_PASSWORD_HASH= user and password, hashed using MD5, SHA1, or BCrypt

Refer to https://dash.cloudflare.com/profile/api-tokens to get your CloudFlare tokens.

Start the stack.

docker compose up -d

This command will start all the services in the stack in the background.

Check run logs.

docker compose logs -f

Or service specific:

docker compose logs -f meilisearch

Populate install with sample data:

docker compose exec -it backend medusa seed -f data/seed.json

Cleaning previous installations:

docker compose down
docker system prune -a -f --volumes
docker volume rm $(docker volume ls -q)