Student Builds Cloud-Native Laundry POS with Docker Compose and WhatsApp Bot
Farrel Widjaja, a Computer Science student at BINUS University, developed Rels Laundry, a point-of-sale system aimed at small laundry businesses facing mixed-up orders, repeated customer status inquiries, and uncollected clothes. The application runs as an Express.js backend with a Tailwind CSS web interface, using a multi-stage Dockerfile that yields an image of about 184 MB. Docker Compose orchestrates the app with a PostgreSQL database, starting the backend only after the database passes a readiness check. Testing showed that order data survives container restarts thanks to named volumes, though removing volumes resets the database. The project's source code is publicly available on GitHub.
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