Principles of Designing Event-Driven Systems for Real-Time Stream Data Processing

Citation: Sai Sruthi Puchakayala, "Principles of Designing Event-Driven Systems for Real-Time Stream Data Processing", Universal Library of Engineering Technology, Volume 03, Issue 01.

Copyright: This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The article examines design principles for event-driven systems that process continuous data streams under real-time constraints. Relevance follows from the shift of cloud applications toward low-latency, decoupled communication and from demand for consistent, fault-tolerant processing in distributed production environments. Novelty lies in synthesizing guidance from recent empirical and survey work on event-driven architectures, stream processors, checkpointing protocols, transactional stream processing, and cloud transaction models. The paper aims to systematize decisions on event modeling, time and ordering, state durability, delivery guarantees, scaling, and observability for production streaming pipelines. Methods combine comparative analysis of peer-reviewed studies, taxonomy construction, and pattern-based reasoning over representative architectures. Ten recent sources are reviewed, and a unified set of design recommendations and trade-offs is derived. The conclusion clarifies when to prioritize exactly-once processing, how to select checkpointing strategies, and how to align platform choices with business-critical workloads. The material supports engineers and architects building high-throughput streaming services.

Keywords: Event-Driven Architecture, Stream Processing, Real-Time Data, Exactly-Once Semantics, Checkpointing, State Management, Transactional Stream Processing, Serverless, Microservices, Observability.

https://doi.org/10.70315/uloap.ulete.2026.0301011