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:
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.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.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.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.
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