Real - time Billing | Data Lake Architecture | System Integration
National Billing Challenges
Context & Insights
The Challenge
Managing billing at a National Scale (15,000+ premises) for ministries and government agencies. The legacy infrastructure struggled with flexibility and could not easily integrate with TM’s existing Business Support Systems (BSS/OSS).
The Gap
Manual processing of “Pay-As-You-Use” data resulted in latency and potential calculation errors. The system required 100% accuracy for complex variables like Late Delivery (LAD) and Penalty charges, which manual methods could not guarantee.
The Goal
To replace manual bottlenecks with a Real-Time Billing Engine capable of ingesting vast data volumes with zero error margin.
Automated Financial Logic
The Strategy
Phase 1
Intelligent Ingestion:
Unified real-time streams from SAMS, ISIM, and MyGovServ via Argo Workflows.
Phase 2
Core Automation:
Deployed the AQ-Rate Engine to automate PAYU, Fixed Charges, and Penalties instantly.
Phase 3
Ironclad Governance:
Secured data with Apache Ranger to achieve full ISO/IEC 27001 compliance.
The AQ-Rate Engine
Architecture
Step 1
(Foundation)
Built on a Hyper-Converged Infrastructure with Dremio and MinIO.
Step 2
(Scalability)
Fully containerized using Docker and Kubernetes for auto-scaling.
Step 3
(Resilience)
Active – Active HA setup with automated disaster recovery.
Operational Precision
What We Delivered
< 1 Hr RTO
Rapid recovery time via robust Disaster Recovery protocols.
100% automated calculation of Late Delivery (LAD) and Penalty charges.
Validation & Tech Stack
The Proof
Client Voice
"The AQ-Rate PAYU solution addressed our critical needs by calculating charges in real-time and automating complex billing components. It integrated seamlessly with our BSS and OSS to enhance operational efficiency."