🏗️System Overview

The TXN Club platform is architecturally designed to offer robust performance, high security, and a seamless user experience. Below is a granular view of its technical architecture:

Frontend Architecture

• Framework & Libraries: React.js complemented by Redux for state management, and Next.js for server-side rendering and static site generation, ensuring optimal performance.

• User Interface (UI) Components: Modular and reusable React components following atomic design principles for consistency and maintainability.

• API Client: Axios for making HTTP requests, integrated with Redux middleware for centralized state management of API calls.

• Content Delivery Network (CDN): Utilization of Cloudflare or AWS CloudFront to serve static assets from edge locations, minimizing latency.

Backend Architecture

• Application Servers: A cluster of Node.js servers, utilizing Express.js for routing and middleware support. The servers are stateless, ensuring scalability.

• Microservices Architecture: Decomposition of backend functionalities into small, independently deployable microservices communicating via RESTful APIs or message queues.

• Serverless Functions: Usage of AWS Lambda or Azure Functions for handling event-driven, short-lived backend operations.

Database Layer

• Relational Database: PostgreSQL with proper indexing, partitioning, and normalization to ensure data integrity and efficient querying.

• NoSQL Databases: Utilization of MongoDB for document-oriented data and Cassandra for high-write scenarios, ensuring horizontal scalability.

• Search Engine: Integration of Elasticsearch for full-text search capabilities and complex query requirements.

• Data Warehousing: Utilization of Amazon Redshift or Google BigQuery for analytics and business intelligence.

Data Processing and Caching

• Data Pipeline: Apache Kafka or RabbitMQ for creating a resilient and scalable message broker system, ensuring decoupled microservices.

• Caching: Implementation of Redis or Memcached for in-memory data storage, reducing database load and improving response times.

• Rate Limiting: Utilizing a distributed caching system to implement rate limiting and protect against DDoS attacks.