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Implement Event-Driven Architecture to Optimize Operational Data Integration and Performance in Insurance Applications
  1. case
  2. Implement Event-Driven Architecture to Optimize Operational Data Integration and Performance in Insurance Applications

Implement Event-Driven Architecture to Optimize Operational Data Integration and Performance in Insurance Applications

trigent.com
Insurance
Financial services

Business Challenges in Operational Data Integration and System Performance

The client manages a diverse set of operational applications that require seamless interapplication communication, especially when handling critical business objects. Their initial implementation faced issues such as race conditions, unaddressed dependencies, and unpredictable event triggers, leading to system delays and performance degradation. These challenges hinder timely data exchange and operational efficiency across distributed application landscapes.

About the Client

A mid to large-sized insurance provider with extensive application portfolio and regional agents, seeking to improve interapplication communication, data sharing, and operational efficiency.

Goals for Enhancing Application Integration and Operational Efficiency

  • Implement an event-driven architecture to facilitate real-time communication between various applications.
  • Address and resolve issues originating from the previous implementation, including race conditions and dependency management.
  • Improve data sharing capabilities and communication reliability across multiple projects and systems.
  • Enhance overall system performance and responsiveness, aiming for operational efficiency improvements.
  • Establish a scalable and maintainable architecture roadmap for future eventing needs.

Core Functional Capabilities for Event-Driven Application Integration

  • Event trigger detection across distributed applications to initiate data processing or responses.
  • Refactored codebase optimized for event-based execution patterns.
  • Real-time event handling to replace timed or batch executions, ensuring prompt system reactions.
  • Performance monitoring and logging mechanisms to identify and address bottlenecks or failures in event workflows.
  • Roadmap development for scalable eventing architecture to support future operational needs.

Preferred Technologies and Architectural Approaches

Event-driven architecture principles
Cloud platforms supporting eventing and microservices, e.g., Azure equivalents
Containerization using Docker for deployment consistency
Languages and frameworks such as PHP/Laravel, .NET, Python (as per existing infrastructure)

External System Integration Requirements

  • Existing application systems requiring real-time data sharing
  • Operational databases and repositories for data exchange
  • Monitoring and logging tools for performance oversight

Critical Non-Functional System Attributes

  • High scalability to support increasing event volume
  • Low latency responses to ensure real-time operational performance
  • System reliability with minimal race conditions and errors
  • Secure data transfer and access control mechanisms

Anticipated Business and Operational Benefits of the New Architecture

The implementation of an event-driven architecture is expected to shift system operations from timed or batch processes to real-time, event-triggered workflows. This transition aims to improve operational performance as evidenced by notable enhancements in system responsiveness and reduction of errors such as race conditions. The expected effects include increased data sharing efficiency, faster response times, and a more resilient and maintainable system infrastructure, ultimately supporting better service delivery and operational agility.

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