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Restaurant Management System

Sr. Software EngineerRITS Co. LTD07/2023 — 04/2024

Key Highlights

  • Micro-service architecture with 5 independent services
  • 15+ features designed and delivered
  • Real-time order processing with WebSocket
  • Event-driven workflows using Kafka
Node.jsReactMicroservicesMongoDBREST APIKafka

Restaurant Management System

Overview

A comprehensive restaurant management platform built with micro-service architecture, designed to streamline operations from order management to inventory tracking, staff scheduling, and analytics.

The Challenge

Modern restaurants need integrated systems that handle:

  • Real-time order processing across dine-in, takeout, and delivery
  • Inventory management with low-stock alerts
  • Staff scheduling and role-based permissions
  • Financial reporting and analytics dashboards
  • Multi-location support
  • Architecture

    Micro-Service Design

    Each domain was isolated into its own service:

  • Order Service — Real-time order lifecycle management with WebSocket updates
  • Inventory Service — Stock tracking, supplier management, and automated reorder alerts
  • Staff Service — Employee scheduling, attendance, and access control
  • Analytics Service — Aggregated reporting across all services
  • Notification Service — Push notifications, SMS, and email alerts
  • Communication Patterns

  • Synchronous REST APIs for queries and CRUD operations
  • Asynchronous message queues (Kafka) for event-driven workflows
  • API Gateway for routing, authentication, and rate limiting
  • Database Strategy

    Each service owns its database (Database per Service pattern):

  • Order Service: MongoDB (flexible document structure)
  • Inventory: PostgreSQL (relational integrity for stock)
  • Analytics: Redis for caching + time-series data
  • Results

  • 15+ features delivered on schedule
  • Handles peak dinner rush loads effortlessly
  • Independent deployment cycles per service
  • Reduced operational overhead for restaurant managers
  • Key Takeaways

  • Start with a modular monolith if your team is small
  • Invest in observability early — distributed tracing is essential
  • Define clear API contracts between services
  • Automate CI/CD for each service independently