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Modernization and Scalability Enhancement for Data Science Platform

kitrum.com

Consumer products & services

Retail

Financial services

Health

Government

Legacy System Limitations and Migration Challenges

Outdated technology stack causing performance bottlenecks, direct database connection limitations, and scalability issues. Complex migration requirements due to technology stack discrepancies and need for comprehensive testing across a large-scale system.

About the Client

Global leader in data science and AI solutions with 1,200+ experts across 14 offices

Modernization Goals

Migrate legacy application to modern, scalable technology stack
Enhance system performance and stability
Implement robust database architecture with metrics library
Reduce operational costs through infrastructure optimization

Core System Requirements

Technology stack migration (.NET, Angular, RabbitMQ, Terraform)
Metrics library integration for database interactions
Performance optimization with query reduction and resource tuning
Automated testing framework implementation

Target Technology Stack

.NET

Angular

Angular JS

RabbitMQ

Terraform

System Integration Needs

Metrics Library
Modern database infrastructure

Operational Requirements

High scalability for growing user base
Enhanced system performance metrics
Robust error handling and maintenance capabilities
Comprehensive security monitoring

Expected Business Outcomes

30-40% operational cost reduction through infrastructure optimization, 50% improvement in system response times, 200% increase in system scalability capacity, and enhanced ability to support future revenue-generating features through modern architecture.