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Modernization of Legacy SaaS Platform with Incremental Rewriting and Scalability Enhancements

accesto.com

Information technology

Business services

Challenges with Legacy System and Scalability

The SaaS platform has accumulated significant technical debt over 8 years, resulting in increased maintenance costs, slowed feature delivery (time-to-market extended to unacceptable levels), and inability to scale to new markets due to architectural limitations and high technical debt.

About the Client

A mature SaaS company providing digital solutions, facing challenges with legacy systems and scalability limitations

Project Goals

Reduce time-to-market for new features by 85-90%
Achieve high scalability for global market expansion
Systematically address legacy code and technical debt
Decrease maintenance costs by 70%
Implement automated development processes

Core System Requirements

Modular component architecture for incremental rewriting
Continuous integration/continuous delivery (CI/CD) pipelines
Automated testing framework (unit and end-to-end testing)
Cloud-native scalable infrastructure
Real-time monitoring and error tracking system

Technology Stack

JavaScript

AngularJS

RxJS

PHP/Symfony

MySQL

RabbitMQ

Redis

Docker

DigitalOcean

GitLab CI/CD

System Integrations

GitLab CI/CD for automated pipelines
DataDog for monitoring
Sentry for error tracking
PHPUnit for testing
Cypress for end-to-end testing

Non-Functional Requirements

99.9% system availability
Horizontal scalability for global expansion
Automated security compliance checks
Performance optimization for critical workflows
Maintainable codebase with 35% annual technical debt reduction

Expected Business Impact

The solution will enable parallel technical debt reduction and feature delivery, reducing new feature release cycles by ~87% while decreasing technical debt by 35% annually. The modernized architecture will support cost-effective global scalability, with automated processes reducing development costs by 70% and improving system reliability through comprehensive monitoring and testing frameworks.