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Event Driven Architecture for a Health Sciences Customer Using Kafka and Java Microservice

Author(s) Sandeep Katiyar
Country United States
Abstract With increasing demand for Data-Driven Applications in the Health Sciences sector, the use of Event Driven Architectures (EDAs) has become much more popular when creating scalable, responsive, and reliable systems. In the Health Sciences sector there are many challenges associated with data management; i.e. managing large volumes of data from various different data sources, while at the same time maintaining high levels of dependability, interoperability and regulatory compliance. This whitepaper will outline the design, development, and assessment of a production grade EDA that uses Apache Kafka as its main event streaming platform and Java-based micro services as its distributed application layer. The major goal of this project was to demonstrate how an EDAs, specifically one centered on Kafka, could assist in solving many of the inherent limitations of many synchronous, tightly-coupled architectures commonly used in Health Sciences Information Systems. In the proposed architecture, all interactions between applications in the Health Sciences domain are treated as immutable events that are posted to Kafka topics which enables asynchronous communication between independently-deployable Java-based micro-services. Several of the key architectural components of this solution include: Topic Partitioning to enable horizontal scaling, Schema Governance to ensure both data integrity and backward compatibility, Idempotent Event Handling to prevent duplicate event delivery, and an Integrated Observability Tool Set to provide full visibility into the operation and governance of the entire system. The results of the assessments clearly demonstrated that the overall responsiveness of the system, fault tolerance and scalability of the system were significantly improved over previous architecture implementations, and provided several benefits including: a significantly lower end-to-end processing latency than previous architecture implementations, essentially zero downtime during component failure, and a linear increase in system performance as the volume of events increases. Overall, the results clearly demonstrated that the utilization of an EDA developed using Apache Kafka and Java MicroServices provides a solid and adaptable foundation upon which Next Generation Health Sciences platforms can be designed and implemented to support real-time workflow execution, seamless system evolution, and long-term architectural sustainability.
Keywords Event Driven Architecture (EDA), Apache Kafka, Java Microservices, Healthcare Information Systems, Distributed Systems, Real-Time Data Processing, Fault-Tolerant Architectures, Healthcare Interoperability.
Field Engineering
Published In Volume 4, Issue 12, December 2023
Published On 2023-12-09
DOI https://doi.org/10.70528/IJLRP.v4.i12.1533
Short DOI https://doi.org/hbh7nf
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