Confluent Kafka

Scaling Bulk Payment Processing with Confluent Kafka for a Leading Banking Group

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Client Challenge

The bank’s CIB (Corporate Internet Banking) and ICCM (Integrated Customer Communication Management) platforms were struggling to meet the increasing volume of corporate payment transactions: 

  • CIB payment API could handle only 7,000–8,000 records per request, far below the required threshold of 300,000. 
  • ICCM platform, used for sending customer statements via email and file-based channels, faced similar throughput limitations—maxing out at 7,000 records per API request. 
  • The existing setup was creating bottlenecks for large-volume corporate clients, impacting scalability, customer satisfaction, and SLAs.  
AI Powered Transformations | Ai driven transformation | AI development company | Ai first company | Ai solutions Company | SID Global Solutions

SIDGS Solution

Confluent Kafka-Powered Payment Streaming Architecture

SIDGS modernized the client’s bulk payments architecture using Confluent Kafka and Confluent-native connectors to build a high-throughput, real-time streaming system. 

Scaling Bulk Payment Processing with Confluent Kafka for a Leading Banking Group

Key Elements of the Solution: 

  • Confluent Connector integration to seamlessly ingest payment data into the Kafka ecosystem. 
  • Kafka Streams and kSQL for real-time processing and validation of high-volume transactions. 
  • Scalable API endpoints designed to process 50,000–100,000 records per request. 
  • Confluent Data Streaming Platform orchestrated to handle 2 million transactions daily, achieving a consistent throughput of 20 TPS. 
  • Integrated with downstream banking and statement delivery systems using API-based automation. 

Business Benefits Delivered

Scalability for Business Growth

Bulk payment system now supports dynamic scaling without performance degradation—empowering business expansion. 

Real-Time High Throughput

The platform consistently handles 20 transactions per second, improving efficiency for large corporate clients with high-volume needs 

Cost Efficiency & Infrastructure Optimization

Streaming architecture reduces infrastructure and operational costs compared to traditional batch systems.

Resilience & Fault Tolerance

Kafka’s event durability ensures no data loss, even during system failures—boosting reliability and trust. 

Seamless Integration

APIs enable smooth integration with external ERP and banking systems, allowing automated payment workflows for B2B clients. 

Customer Experience Enhancement

Faster, more reliable bulk transactions have improved satisfaction and retention for top-tier clients reliant on bulk processing. 

Impact Snapshot

Metric Before After (Post-Kafka Modernization)
Max records per API request 7,000–8,000 50,000–100,000
Daily transaction capacity <500,000 2 million+
Transaction throughput ~5 TPS 20 TPS (sustained, real-time)
System availability & fault tolerance Low High (resilient to failure, HA-enabled)

Why SIDGS + Confluent Kafka

  • Kafka Modernization Expertise with BFSI use cases 
  • Confluent-native Implementation: kSQL, Confluent Connect, and Control Center 
  • Enterprise-Grade Governance for real-time payments 
  • Flexible Engagement Models aligned with business outcomes 
AI Powered Transformations | Ai driven transformation | AI development company | Ai first company | Ai solutions Company | SID Global Solutions

Let’s Talk Bulk Payments at Scale

Contact us to learn how we can modernize your real-time payment systems using Confluent Kafka. 

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