Modernizing and transforming Quality Management Application with ABP.IO and Raaghu
Client was running their Quality management application across 10 Windows VMs, hosting approximately more than 150 tenants with over 100 separate SQL Server databases.
The Challenge:
The legacy infrastructure faced major limitations
- High Operational Costs: Maintaining 10 VMs and 100+ SQL databases was becoming financially unsustainable.
- Limited Scalability: Adding new tenants required manual provisioning, causing significant delays.
- Complex Operations: Managing configurations, updates, and deployments across VMs and databases was highly error-prone.
- Inefficient Resource Utilization: Underutilized resources and inconsistent load distribution led to performance bottlenecks.
Our Solution:
Wai Technologies proposed and implemented a cloud-native modernization strategy leveraging Microsoft Azure to meet Client’ scalability, cost, and performance goals.
Target Architecture
- Frontend: ReactJS SPA hosted via Azure Static Web Apps for low-latency global delivery.
- Backend: ABP.IO-based .NET Core services deployed on Azure App Services with support for microservice scale-out.
- API Layer: RESTful APIs with complete endpoint documentation and role-based access control.
- Database: Azure SQL Server Elastic Pool to consolidate tenant databases while reducing licensing and resource costs.
- Caching: Azure Redis Cache for fast read/write access and optimized API performance
- Storage: Azure Blob Storage to manage document and media uploads for all tenants.
Performance & Monitoring Enhancements
- Application Insights: Integrated for real-time telemetry and diagnostics across environments.
- Caching Strategies: Redis-based caching for frequently accessed tenant configurations and metadata.
- AutoHeal Configuration: Auto-recycling of app instances on threshold breaches (memory, execution time)
- Load Testing: Simulated 500+ concurrent tenants during UAT to benchmark responsiveness.
Technology Stack
- Cloud: Microsoft Azure (App Services, Static Web Apps, Redis, Blob Storage, SQL Elastic Pool)
- Backend: ABP.IO (.NET Core 8), REST APIs
- Frontend: Raaghu Design System, ReactJS
- Monitoring: Application Insights, Azure Monitor
Impact & Results:
Measurable Outcomes
- Reduced infrastructure costs by 50% after VM decommissioning
- Onboarded 3X more tenants in 30% less time
- Achieved 99.95% uptime using Azure App Service
- Reduced incident resolution time by 60% through Application Insights
Client’s move to Azure transformed how they operated the solution. It’s not just about saving costs—Wai technologies helped them achieve scale, speed, and resilience. Modernization gave the client the foundation to grow confidently.
Long-Term Value
- Elastic, scalable, and secure infrastructure ready for future AI and analytics integrations.
- Zero-downtime deployments and agile tenant onboarding processes.
- Cloud observability tools embedded into daily DevOps workflows.
Key Benefits
- Scalability: Architecture now supports 700+ tenants with automated provisioning.
- Cost Reduction: Elastic pools reduced SQL licensing and compute cost by 50%.
- Simplified Operations: Centralized monitoring, logging, and scaling reduced manual interventions by 70%.
- Improved Resilience: Built-in AutoHeal and Azure SLAs improved application uptime.
Conclusion:
This project exemplifies Wai’s deep capability in .NET modernization, React UI transformation, and AI integration. Client now operates on a high performance, modern application stack that is scalable, user-friendly, and AI-enabled demonstrating how digital reinvention can secure a product’s future relevance and competitiveness.
Wai’s Azure-native infrastructure modernization approach enabled Client to break free from their legacy limitations. The result: a robust, performant, and cost-optimized platform with the scalability required for aggressive growth in a competitive market. This project showcases Wai’s ability to blend cloud architecture, modern engineering practices, and tenant-first design principles into a transformative solution.