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Database Architecture Refactoring for Scalable Authentication Platform
  1. case
  2. Database Architecture Refactoring for Scalable Authentication Platform

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Database Architecture Refactoring for Scalable Authentication Platform

unicrew.com
Security
Information technology

Current Challenges in Database Scalability and Performance

The platform experiences significant performance bottlenecks due to monolithic database architecture struggling with exponential data growth from rapid customer acquisition. Single-database limitations hinder horizontal scaling and transaction processing capabilities.

About the Client

Singapore-based startup specializing in biometric and machine learning-based secure authentication solutions for enterprises

Key Project Goals

  • Implement horizontal data partitioning to improve system scalability
  • Enhance database architecture to support indefinite dataset growth
  • Optimize transaction processing performance under high load
  • Ensure reliable data distribution across multiple nodes

Core System Requirements

  • Database sharding mechanism based on user authentication patterns
  • Load balancing across multiple database nodes
  • Data partitioning strategy for device, biometric, and behavioral datasets
  • Cross-node transaction management system
  • Automated shard rebalancing capabilities

Technology Stack Requirements

MS SQL
Web API
Bootstrap 3

System Integration Needs

  • Existing risk scoring module
  • Biometric authentication interfaces
  • Enterprise identity management systems

Performance and Scalability Requirements

  • Support for 10x data volume growth without performance degradation
  • 99.99% system availability during scaling operations
  • Response time under 200ms for authentication requests
  • Secure data partitioning with encryption at rest

Expected Business Outcomes

Enables sustainable platform growth through distributed architecture, reduces infrastructure costs by 40% through optimized resource utilization, and improves customer retention through enhanced system reliability and faster authentication processing times.

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