Opinion Trading Platform Backend

Overview

This repository contains the backend implementation for an opinion trading platform. It is designed to provide scalable, efficient, and real-time services using modern technologies. The architecture follows a modular approach, ensuring dynamic scaling based on workload, and incorporates asynchronous task processing, low-latency operations, and real-time interactions.

Features

• Modular Design: Services are decoupled to enable dynamic scaling based on workload.
• Asynchronous Task Processing: Utilizes Redis queues and Pub/Subs for efficient background task execution.
• Low-Latency Operations: Implements in-memory caching with Redis for fast data access.
• Durable Storage: Ensures data persistence using Amazon S3 for archival purposes.
• Real-Time Interactions: Replaces polling with a WebSocket server for live updates.
• Relational Database: PostgreSQL is used with Prisma ORM for structured data management.
• Archived Data Storage: Non-essential data is stored in PostgreSQL to reduce the workload on the main engine.

Tech Stack

Core Technologies

• Node.js with Express: Backend framework for building scalable APIs.
• Redis: In-memory data structure store for caching, Pub/Sub, and task queues.
• Amazon S3: Cloud-based object storage for durable data persistence.
• WebSocket: Enables real-time, bidirectional communication between clients and the server.
• PostgreSQL with Prisma: Relational database with a type-safe ORM.