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Legacy Data Management System Modernization and Support Platform Development
  1. case
  2. Legacy Data Management System Modernization and Support Platform Development

Legacy Data Management System Modernization and Support Platform Development

apriorit.com
Media
Financial services
Construction
Recreation

Business Challenges in Supporting Legacy Data Management Software

The client operates a containerized Linux-based legacy data synchronization system for local and cloud storage, which is increasingly difficult to maintain due to undocumented code, outdated technologies, and support challenges. They aim to shift focus towards developing a new cloud-based platform but require an outsourced team to maintain and modernize existing legacy systems, reduce escalated support tickets, implement custom user-requested features, and enhance software supportability and flexibility.

About the Client

A mid-sized enterprise providing data storage, sharing, and transfer solutions for diverse industry clients, focusing on secure and efficient data management for content-critical businesses.

Goals for Legacy System Support and Modernization Enhancement

  • Refactor and optimize existing legacy code to improve performance, reliability, and supportability.
  • Port legacy software to modern, supported operating systems to facilitate easier maintenance and future updates.
  • Implement automated testing frameworks to accelerate regression and upgrade testing cycles.
  • Fix existing bugs and reduce escalated support tickets to improve end-user satisfaction.
  • Develop and deploy custom features based on user requests, such as monitoring integrations and space management tools.
  • Enhance system supportability by streamlining update mechanisms and enabling flexible deployment channels.
  • Ensure seamless migration paths to new cloud-based platforms, minimizing user disruption.

Core Functional System Requirements

  • Refactored legacy codebase for performance and maintainability
  • Porting of existing software to current Linux distributions with support for subsequent updates
  • Implementation of automated regression and upgrade testing frameworks
  • Support for custom features such as system monitoring integrations (e.g., SNMP) and space management tools
  • Enhanced update channels supporting multiple release modes (stable, beta, old stable)
  • Modular support for diverse client requirements and easy deployment processes
  • Data migration capabilities with minimal user involvement

Preferred Technologies and Architectural Approaches

Linux-based operating systems (e.g., Debian, Ubuntu)
Code refactoring using Python 3, Golang, and C
Automated testing frameworks for regression and upgrade testing
Modular architecture supporting support for multiple update channels
Security patches and system hardening techniques

External Systems and Data Integrations

  • Monitoring systems via SNMP or similar protocols
  • Cloud storage and transfer APIs
  • Existing support ticket and issue tracking systems

Performance, Security, and Supportability Standards

  • High system reliability with reduced support tickets and escalations
  • Performance improvements achieved through code refactoring
  • Compatibility with current and future Linux distributions
  • Secure handling of data and support for security patches
  • Automated testing to ensure rapid deployment of updates

Expected Business Value and Project Outcomes

The project aims to enable the client to sustain high user satisfaction by reducing escalated support tickets and fixing existing issues, thereby improving user experience. It will allow the client to free development resources from maintenance and support tasks, focusing on building the upcoming cloud platform. Anticipated results include a significant reduction in support escalations, improved system performance, and a smoother transition to modern infrastructure, ultimately supporting long-term growth and operational efficiency.

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