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High-Availability Insurance Claim Processing Framework Using Distributed Java Services, Infrastructure as Code, and Asynchronous Event Streaming

Dr. Adrian Lim Wei Jian
Department of Computer Science and Information Engineering Faculty of Computing and Digital Technologies University of Kuala Lumpur Kuala Lumpur, Malaysia
tajiir 2026
VOL. 8 / NO. 06 JUNE
FULL TEXT PP. 9-16
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VOLUME 8
ISSUE 06
YEAR 2026
PAGES 9-16
RESEARCH OVERVIEW

Abstract

The increasing digitalization of insurance operations has intensified the need for resilient, scalable, and highly available claim processing systems capable of handling large transaction volumes, strict regulatory requirements, and continuous customer interaction. Traditional monolithic insurance platforms often struggle with operational bottlenecks, deployment complexity, limited scalability, and delayed claim settlement cycles. This paper presents a high-availability insurance claim processing framework based on distributed Java services, infrastructure as code (IaC), and asynchronous event streaming. The proposed framework integrates domain-driven design principles, microservices architecture, Kubernetes orchestration, Apache Kafka-based event streaming, and automated cloud-native deployment strategies to improve reliability, elasticity, and fault tolerance within insurance ecosystems. The framework employs Spring Boot-based distributed services, event sourcing mechanisms, container orchestration, infrastructure automation, and observability pipelines to support real-time claims ingestion, fraud detection, policy validation, and settlement workflows. Furthermore, the study evaluates the architectural implications of asynchronous communication, distributed data consistency, and operational resilience under high-load scenarios. The research demonstrates that event-driven microservice systems significantly improve scalability, reduce recovery times, and enhance processing throughput compared to centralized systems. However, the study also identifies challenges related to distributed transaction management, governance complexity, and operational monitoring. The findings contribute to contemporary research on enterprise modernization in financial and insurance technology by providing a technically grounded and operationally viable framework for resilient insurance claim processing infrastructures.

RESEARCH TOPICS

Keywords

Insurance Claim Processing Microservices Architecture Distributed Java Services Infrastructure as Code

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