International Journal on Science and Technology

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Event-Driven Architectures for Real-Time Distributed Databases in Cloud Systems

Author(s) Phani Kiran Mullapudi
Country United States
Abstract This article examines the implementation of event-driven architectures for real-time distributed databases in cloud systems. The article explores core components including event sourcing and Command Query Responsibility Segregation (CQRS), alongside key technologies such as Apache Kafka, Redis Streams, and AWS DynamoDB Streams. Through analysis of various architectural patterns and real-world applications in fraud detection and IoT systems, the article demonstrates how event-driven architectures enable organizations to achieve improved scalability, reliability, and performance in distributed environments. The article also addresses critical challenges in data consistency, scalability considerations, and system monitoring, providing insights into effective implementation strategies and best practices for modern cloud-based systems
Keywords Keywords: Cloud Computing, Distributed Databases, Event-Driven Architecture, Real-time Processing, Stream Processing
Field Computer
Published In Volume 16, Issue 1, January-March 2025
Published On 2025-03-15
Cite This Event-Driven Architectures for Real-Time Distributed Databases in Cloud Systems - Phani Kiran Mullapudi - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.2273
DOI https://doi.org/10.71097/IJSAT.v16.i1.2273
Short DOI https://doi.org/g88scg
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