OVERVIEW
Housing Development Finance Corporation (HDFC)
CLIENT
Aieze Vertex Private Limited collaborated with HDFC Bank to modernise and optimise its Business Rule Engine (BRE) infrastructure, aiming to boost automation, scalability, and decision-making efficiency. Leveraging microservices architecture, open-source technologies, and advanced DevOps practices, Aieze delivered a cloud-native solution fully integrated with HDFC’s Digital Application Platform (DAP), enabling future-ready, secure, and high-performance banking operations.
PROJECT OVERVIEW
Aieze Vertex Private Limited partnered with HDFC Bank to deliver a cutting-edge transformation of their Business Rule Engine (BRE) infrastructure. The aim was to enhance automation, scalability, and decision-making capabilities across the bank’s digital products. By leveraging expertise in microservices architecture, enterprise-grade DevOps, and open-source adoption, Aieze deployed a cloud-native framework that seamlessly integrates with HDFC’s Digital Application Platform (DAP).
OBJECTIVE
The primary objective of the project was to :
- Modernise and upgrade the existing BRE infrastructure.
- Integrate BRE with HDFC’s DAP for seamless rule execution across applications.
- Replace proprietary BRE solutions with open-source alternatives for cost efficiency.
- Ensure high availability, zero-downtime deployments, and automated DevOps pipelines.
- Provide a future-ready and scalable solution adaptable to evolving banking needs.
WORK FLOWS
DATA COLLECTION AND STANDARDIZATION
- Conducted a detailed assessment of the existing BRE setup, rule structures, and deployment patterns.
- Gathered business rule data from multiple banking operations.
- Standardised rule formats, configuration templates, and documentation for consistency.
DATA PROCESSING AND FLOW
- Implemented RedHat Decision Manager and Drools for business rule management.
- Integrated secure authentication, authorisation, and user management services.
- Deployed CI/CD pipelines for automated, continuous deployment.
- Conducted load testing simulations to assess performance in real-world usage conditions.
- Designed ML Ops workflows to integrate predictive analytics into decision-making processes.
TECHNOLOGY STACK
| Layer | Technologies |
|---|---|
| Architecture | Microservices-based cloud-native framework |
| Business Rules Engine | RedHat Decision Manager, Drools |
| DevOps | Jenkins, GitLab CI, automated deployment pipelines |
| Cloud Hosting | AWS with container orchestration |
| Security Services | Authentication & Authorisation APIs |
| ML Ops | Python, TensorFlow/PyTorch for model deployment |
| Integration | HDFC Digital Application Platform (DAP) |
RESULTS ACHIEVED
- 60% faster deployments through CI/CD automation.
- 99.99% uptime with zero downtime during production rollouts.
- Increased rule processing efficiency with open-source BRE tools.
- Fully documented architecture and source code handed over to HDFC for independent operation.
The modernised BRE infrastructure has:
- Enabled faster rule updates, improving business agility.
- Reduced licensing costs by adopting open-source solutions.
- Enhanced scalability to handle future workloads.
- Strengthened security and compliance in banking operations.
- Positioned HDFC to leverage AI and ML for predictive decision-making.
CONCLUSIONS
The successful deployment by Aieze Vertex Private Limited transformed HDFC Bank’s BRE infrastructure into a future-ready, scalable, and cost-efficient solution. This project stands as a testament to Aieze’s capability in large-scale digital transformation for the banking sector, delivering measurable improvements in performance, automation, and innovation readiness.
