Re-engineering of Multiple System Codebases for an Automated Beer-Line Cleaning Solutions Provider [Case Study]

The quality of draught beer can make or break a venture’s reputation in the beverage dispensing industry. Behind every perfect pint lies the beer line cleaning system, a critical yet often overlooked component. Traditional beer line cleaning systems often operate in isolation, creating operational silos that limit efficiency and scalability.

Modern beverage operations in the hospitality industry, production facilities, or event venues demand sophisticated solutions beyond basic automation. Stadium operators, breweries, and hospitality chains increasingly seek integrated solutions to manage beer lines and water dispensers while ensuring real-time monitoring, compliance tracking, and preventive maintenance.

This case study highlights how we helped re-engineer multiple systems codebases into one unified solution for a renowned Europe-based automated beer-line cleaning equipment solution provider. We implemented the multi-tenant microservice architecture to support their growing customer base and significantly improve the system’s performance and scalability.

A Europe-based provider of automated beer-line cleaning equipment and beer dispensing solutions faced significant technical challenges in operating two separate systems (one focused on beer-line cleaning, while the second served as a comprehensive system for verifying and managing cleaning processes for both beer and portable water dispenser line cleaning) that served overlapping purposes. The client sought a technology partner to merge these systems while implementing modern architecture practices to support their growing customer base.

Our expert team collaborated with the client to execute multiple system codebases merging into a unified system. We helped re-engineer these distinct codebases by implementing multi-tenant microservices architecture to reduce operational costs and enhance scalability.

• System Fragmentation: Operating two separate codebases led to redundant maintenance efforts and inconsistent feature implementations
• Performance Bottlenecks: The existing architecture struggled to handle increasing customer loads efficiently. This impacted overall system responsiveness and operational efficiency.
• Scalability Constraints: The existing system’s architecture struggled to handle increasing customer demands. This affected business growth and the efficiency of operations.
• Multi-tenancy Integration Challenge: The new integrated platform required multi-tenant architecture to support multiple customers simultaneously while ensuring data isolation and resource optimization.

The solution centered around a strategic reengineering initiative transforming the client’s technical infrastructure. Our approach began with a comprehensive analysis of both existing systems to identify overlapping features, critical functionalities, and integration points.

At its core, the project involved merging the two codebases into a unified, more efficient system. Our highly experienced team accomplished this through carefully planned microservices architecture built on modern technologies, including Angular 18 for the front end, .NET 8 for the back-end services, and PostgreSQL for database management. This architectural decision proved crucial for eliminating redundant code and standardizing standard features across the unified system. This collectively transformed the client’s integrated system into a modern, efficient, and scalable platform capable of handling their growing business needs while maintaining high performance and security standards. The architecture solved the immediate challenges and provided a foundation for future enhancements and scaling.

Broad Scope of Our Project:

Multitenancy Architecture Implementation

The most significant technical achievement was the implementation of sophisticated multi-tenant microservices architecture. This allowed multiple customers (tenants) to utilize the system simultaneously while maintaining strict data isolation. Using PostgreSQL as the database system, we implemented a database-per-tenant model, where each customer’s data was stored in a separate database instance.

The architecture ensures efficient resource sharing at the application level while maintaining complete data separation at the storage level. The implementation includes automated tenant provisioning, resource allocation, and tenant-specific customization capabilities.

Performance and Scalability Enhancements

To address the performance challenges, our expert team of seasoned developers incorporated several optimization strategies. The microservices architecture allowed for independent scaling of different system components based on load patterns. Caching mechanisms were implemented at various levels to reduce database load and improve response times. The team also implemented efficient database indexing strategies and query optimizations to enhance data retrieval performance.

Custom ERP Integration

The solution included a robust ERP integration capability through a dedicated microservice, enabling seamless connectivity between the system and customers’ diverse ERP systems. This integration layer was designed to handle automated data synchronization, standardized data transformation, and real-time communication between systems. It allows customers to maintain their existing ERP infrastructure while leveraging the enhanced cleaning management capabilities of the platform. The integration service supports various ERP systems, ensuring flexibility and adaptability to different customer environments. Customers benefit from automated data flow, reduced manual entry, improved data accuracy, and streamlined business processes through this integration.

Advanced Notification and Escalation Services

We incorporated sophisticated notification services to manage escalation processes efficiently. This dedicated microservice handles multi-channel notifications through email, SMS, and push notifications, ensuring critical alerts and escalations reach stakeholders at the right time. The notification system is intelligently integrated with the cleaning services to trigger alerts based on predefined business rules and escalation matrices.

Priority Change Request Implementation

Alongside the significant architectural changes, we successfully implemented several priority Change Requests (CRs) in the existing system. These implementations ensured critical business functionality updates were incorporated into the unified system, meeting immediate customer needs, while the larger architectural changes were implemented simultaneously.

• 40% improvement in overall system response time
• 300% increase in system capacity to handle multiple tenants
• 60% reduction in maintenance overhead due to streamlined codebase
• 100% isolation of customer data with multitenancy
• 30% reduction in codebase size through feature consolidation and eliminating redundant code

A leading Europe-based provider of automated beer-line cleaning, monitoring, and dispensing solutions.

• Architecture Pattern – Microservices
• Frontend – Angular 18
• Backend – .NET 8
• Database – PostgreSQL