Realm - CRM & Campaign managment app

Architecture - Backend

Core Components

• Express.js Server: RESTful API endpoints
• MongoDB: Data persistence
• RabbitMQ: Message queue for handling bulk orders

Pub/Sub Implementation

The application uses a publisher-subscriber pattern for processing bulk orders:

1. Publisher (orders.controller.js): Publishes orders to RabbitMQ queue
2. Consumer (orderConsumer.js): Processes orders from queue and saves to MongoDB

Backend setup

Prerequisites

• Node.js
• MongoDB
• RabbitMQ
• Docker and Docker Compose

Bulk Order Processing

• The system implements a pub/sub architecture for processing bulk orders:

Publishing Orders

• Orders are sent to /api/orders
• The controller publishes to RabbitMQ queue 'orders_queue'
• Returns 202 Accepted response

Processing Orders

• orderConsumer.js listens to 'orders_queue'
• Validates and processes orders in batches
• Saves orders to MongoDB
• Acknowledges successful processing

Architecture - Frontend

Core Technologies

• Next.js 15
• Tailwind CSS
• React Query
• Axios

Key Features

Dashboard

• Campaign analytics and metrics visualization
• Real-time campaign performance tracking
• Quick access to recent campaigns and segments

Campaign Management

• Create/Edit campaign workflows
• Campaign scheduling and timing controls
• Target audience selection through segments
• Campaign performance statistics

Customer Segmentation

• Create dynamic customer segments
• Rule-based segmentation builder
• Segment analytics and insights
• Real-time segment size estimation

Order Management

• Bulk order submission interface
• Order status tracking
• Real-time processing feedback
• Order history and analytics

Integration Points

• Connects with backend REST APIs
• Real-time updates using polling
• File upload handling for bulk operations
• Error handling and retry mechanisms

State Management

• React Query for server state
• Context API for global UI state