Restaurant Manager as a Service (RMaaS) – Golang Microservice Implementation

Introduction

Modern restaurants increasingly rely on digital ordering and management systems to streamline operations, reduce manual errors, and enhance customer experience.

To explore this space, I built Restaurant Manager as a Service (RMaaS) — a lightweight backend service written in Golang, exposing REST APIs for:

Menu management
Order creation & tracking
MongoDB persistence (local or cloud)

The goal of RMaaS is to provide a simple, modular, and scalable backend foundation that can later integrate with:

Payment gateways
Inventory systems
Kitchen display systems
Analytics dashboards

Tech Stack

Language

Golang

Architecture

Layered Service Architecture

Database

MongoDB (local / MongoDB Atlas)

API Testing

Postman Collection

Communication

REST APIs (JSON)

Repository Structure Overview

The project follows a clean layered architecture:

1. API Layer

Contains Postman collection for testing endpoints.
Helps developers quickly validate service behavior.

2. Database Layer (db)

MongoDB connection setup.
Handles database initialization and configuration.

3. Domain Models (domain)

Defines core business entities:

Menu
Order
Payment
Error handling

This layer keeps business structures independent of transport or database logic.

4. Service & Handler Layers (endpoints)

Each module (Menu, Orders, Payment) contains:

handler.go → HTTP request/response handling
service.go → Business logic implementation

This separation ensures:

Clean code
Easy testing
Future scalability

5. Routing Layer (routes)

Central place to register all API endpoints.
Connects HTTP paths to handlers.

6. Entry Point (main.go)

Initializes database connection
Registers routes
Starts HTTP server

Core Features

Menu Service

Purpose: Expose available restaurant items to clients.

Endpoint: GET /menu

Behavior:

Fetch menu list from MongoDB
Return JSON response with available items

Used by:

Customer ordering apps
Admin dashboards
POS systems

Order Service

Handles order lifecycle with two main endpoints:

1. Create Order: POST /order

2. Get Order Status: GET /order/{order_id}

Flow:

Validate request payload
Calculate / verify total
Store order in MongoDB
Generate unique order ID
Return confirmation response

Payment Service

Status: Planned

The structure is already prepared for future payment integration, enabling:

Online payment processing
Payment status tracking
Refund handling

This shows forward-thinking modular design.

Sample API Request

Here's an example of creating an order:

// POST /order
{
  "table_number": 3,
  "customer_id": "abc@gmail.com",
  "cart": [
    { 
      "menu_id": 101, 
      "quantity": 2, 
      "cost": 240 
    },
    { 
      "menu_id": 102, 
      "quantity": 1, 
      "cost": 60 
    }
  ],
  "total": 300
}
        

Database Design (MongoDB)

          Why MongoDB?
          Flexible schema for evolving restaurant data
Easy cloud deployment with MongoDB Atlas
Native JSON compatibility with REST APIs

        

Typical collections:

menus
orders
payments (future)

High-Level Architecture Flow

            +-------------------+
            |   Client / POS /  |
            |   Mobile App      |
            +---------+---------+
                      |
                      | HTTP REST
                      v
            +-------------------+
            |   Golang Server   |
            |   (main.go)       |
            +---------+---------+
                      |
          +-----------+-----------+
          |                       |
          v                       v
  +---------------+      +----------------+
  |   Menu API    |      |   Order API    |
  | handler/service|     | handler/service|
  +-------+-------+      +--------+-------+
          |                       |
          +-----------+-----------+
                      |
                      v
               +-------------+
               |  MongoDB    |
               | Local/Cloud |
               +-------------+

Request Flow Example (Create Order)

Client → POST /order
      → Router
      → Order Handler
      → Order Service (business logic)
      → MongoDB (store order)
      → Response with Order ID
      → Client displays confirmation
        

Design Principles Used

Separation of Concerns – Clear boundaries between layers
Modular microservice-ready structure – Easy to split into microservices
Scalable database choice – MongoDB supports horizontal scaling
Clean REST API design – RESTful conventions followed
Future-ready payment integration – Prepared for extensibility

API Testing with Postman

A ready-to-use Postman collection is included, allowing:

Quick local testing
Easy sharing with frontend/mobile teams
Faster debugging

Future Enhancements

          Planned Features
          JWT Authentication – Secure API access
Role-based access (Admin / Staff / Customer)
Payment gateway integration (Stripe/Razorpay)
Order status workflow (Preparing → Ready → Served)
Docker & Kubernetes deployment – Container orchestration
Observability (logs, metrics, tracing)

        

Why I Built This

This project demonstrates several key technical competencies:

Golang proficiency – Building production-grade services
Clean architecture – Maintainable and testable code
REST API design – Industry-standard practices
MongoDB integration – NoSQL database expertise
Microservice patterns – Preparing for distributed systems

More importantly, it's a practical foundation that can evolve into a full-featured restaurant management platform.

Interested in discussing backend architecture or microservices? Feel free to reach out — I'd be happy to share insights from this project.