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Development of a Scalable Distributed Billing and Data Management System for High-Volume Telecommunications Operations
  1. case
  2. Development of a Scalable Distributed Billing and Data Management System for High-Volume Telecommunications Operations

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Development of a Scalable Distributed Billing and Data Management System for High-Volume Telecommunications Operations

intexsoft.com
Telecommunications
Information technology
Financial services

Legacy System Limitations and Scalability Challenges

The client's outdated billing system could no longer handle modern requirements, including processing billions of daily transactions, maintaining data integrity at scale, and supporting real-time billing calculations for millions of users.

About the Client

A multinational telecommunications provider requiring a modern, high-performance billing and data management platform to handle massive client transaction volumes.

Key Objectives for System Modernization

  • Design and implement a distributed data storage and billing system from scratch
  • Support processing of 600,000+ records per second with high reliability
  • Ensure data security through encryption and authentication protocols
  • Enable accurate billing calculations through distributed data processing
  • Build a maintainable microservices architecture for future scalability

Core System Functionalities

  • Distributed Cassandra database for high-volume data storage
  • Apache Spark-based data processing engine
  • 20+ microservices architecture for modular operations
  • Real-time data aggregation and reporting
  • Billing data calculation engine for invoice generation
  • Multi-region data center synchronization

Technology Stack Requirements

Apache Cassandra
Apache Spark
Microservices architecture
SFTP protocol
Single Sign-On (SSO)
Data encryption standards

System Integration Needs

  • Existing client CRM systems
  • Payment gateway APIs
  • Third-party analytics platforms
  • Multi-region data center infrastructure

Performance and Security Requirements

  • Horizontal scalability to handle petabytes of data
  • 99.99% system availability
  • End-to-end data encryption
  • Real-time processing latency under 50ms
  • Compliance with telecom industry security standards
  • Automated failover across data centers

Expected Business Impact of System Modernization

The new system will enable the client to process billing data at unprecedented scale, reduce operational costs through automated data management, maintain compliance with modern security standards, and support long-term growth through flexible architecture, while establishing a foundation for future AI-driven analytics capabilities.

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