Rearchitecting a Microservices-Based Business Process Automation System for Enhanced Scalability and Quality Assurance

The client’s existing cloud-based business process automation system has become increasingly complex, slow, and difficult to maintain. Rapid feature expansion risks regression issues, hampering operational efficiency and quality assurance across critical workflows such as attendance tracking, license management, and financial reporting. Legacy modules and monolithic architecture hinder scalability and robust testing, impeding timely delivery of new features and reliable performance under high user load.

A mid-sized educational organization managing complex workflows such as attendance, licensing, and financial operations, seeking to modernize and improve process efficiency.

• Redesign the existing monolithic system into a scalable microservices architecture to improve system agility and maintainability.
• Implement comprehensive testing strategies including regression testing, performance analysis, and data migration testing to ensure high system quality.
• Establish continuous quality assurance processes with regular regression testing within development sprints.
• Achieve robust environment management to support acceptance testing and system integration verification.
• Enhance system performance to support over 10,000 concurrent users and ensure reliable operation under high load.

• Business-critical functionality management including attendance, payroll, financial reporting, and resource planning modules.
• Complex license management with flexible pricing models based on session count and organizational size.
• Rigorous regression testing framework encompassing over 3,000 critical scenarios for each release cycle.
• Comprehensive data migration testing capabilities during legacy system redesign.
• System integration testing covering dozens of components and external systems with over 5,000 test cases.
• Robust environment management for continuous acceptance and integration testing.
• Performance testing tools including SQL profiling and bottleneck identification techniques.
• Stress testing capabilities to support high concurrency (over 10,000 users).

• Financial and accounting systems
• Legacy modules for data migration testing
• External APIs for resource and license management

• System scalability to support over 10,000 concurrent users
• High reliability and availability
• Frequent regression testing within each development sprint
• Robust environment management for acceptance testing
• Performance monitoring and bottleneck identification

The redesigned microservices-based automation system is expected to significantly enhance system performance, maintainability, and scalability. It aims to reduce regression risks, facilitate faster feature rollout, and support high concurrency, ultimately improving operational efficiency for educational organizations and ensuring high-quality user experience.