High-level Architecture Overview

BigLedger’s architecture is designed to connect, scale, and automate processes for seamless business operations. It functions as a centralized hub for data exchange, real-time communications, and secure transactions across multiple platforms, making it adaptable for a range of enterprise applications and IoT environments. Below is a summary of BigLedger’s main architectural layers:

1. Client Layer

• Mobile and IoT Support:
  Compatible with mobile apps (iOS, Android) and IoT devices for data access from any platform.

• Embedded Communication:
  Supports integrated messaging channels like WhatsApp, Skype, and Twilio for customer and team interactions.

2. Core Integration Platform

• Central Data Hub:
  Acts as the main exchange point for business documents and data, such as invoices and purchase orders, integrating with applications like SAP, Oracle, Xero, and QuickBooks.

• PEPPOL Compliance:
  Ensures international invoicing standards through PEPPOL, simplifying cross-border transactions.

3. Backend Services and Microservices

• Microservices Architecture:
  Composed of modular services that handle document management, e-invoicing, and payment gateway integrations (e.g., PayPal, Stripe, FPX).

• Cloud and AI:
  Utilizes AWS and Azure for scalability, with AI tools like Digital Twin technology for predictive analytics.

4. Infrastructure and Storage

• Database Layer:
  PostgreSQL for transactional data, supported by Amazon RDS for high availability.

• Document Storage:
  Amazon S3 manages large volumes of documents securely, with backup and retrieval integrations.

• Deployment Platform:
  Uses AWS Elastic Beanstalk to simplify application deployment and manage scaling.

This architecture enables BigLedger to be scalable, adaptable, and resilient, supporting complex business processes with high-performance infrastructure.