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Designing Fault-Tolerant Event-Driven Systems: A SAGA-Oriented Approach to Consistency in High-Throughput Environments
Subject area: Science,Engineering and Technology · Area of research: Agentic AI
DOI: 10.64388/IREV9I10-1715957
Abstract
Event-driven architectures have become the foundation for building scalable and responsive enterprise systems. By enabling asynchronous communication and decoupling services, these systems can handle high-throughput workloads and dynamic operational conditions. However, maintaining consistency across distributed components remains a critical challenge, particularly in environments where failures, delays, and retries are inevitable. The SAGA pattern has emerged as a widely adopted solution for managing distributed transactions without relying on strict coordination mechanisms. By decomposing complex operations into smaller steps and introducing compensating actions, SAGA provides a practical framework for achieving eventual consistency. However, in real-world systems, compensations are not always sufficient to guarantee coherent outcomes. This paper introduces a novel perspective on distributed consistency through the concept of a Convergence-Oriented SAGA model. Instead of focusing on execution paths, the proposed approach emphasizes outcome convergence. Systems are designed to continuously reconcile their current state with a desired target state, ensuring that distributed processes move toward consistent outcomes despite failures and uncertainties. The study develops a conceptual and architectural framework for designing fault-tolerant, event-driven systems that prioritize convergence over strict execution control. It demonstrates how this approach enhances resilience, improves consistency, and supports reliable system behavior in high-throughput environments.
Keywords
Event-Driven Systems, SAGA Pattern, Distributed Systems, Fault Tolerance, Eventual Consistency
References
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How to cite this paper
@article{1715957,
author = {Ilker Kanatli},
title = {Designing Fault-Tolerant Event-Driven Systems: A SAGA-Oriented Approach to Consistency in High-Throughput Environments},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {10},
pages = {4502-4516},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1715957.pdf},
abstract = {Event-driven architectures have become the foundation for building scalable and responsive enterprise systems. By enabling asynchronous communication and decoupling services, these systems can handle high-throughput workloads and dynamic operational conditions. However, maintaining consistency across distributed components remains a critical challenge, particularly in environments where failures, delays, and retries are inevitable. The SAGA pattern has emerged as a widely adopted solution for managing distributed transactions without relying on strict coordination mechanisms. By decomposing complex operations into smaller steps and introducing compensating actions, SAGA provides a practical framework for achieving eventual consistency. However, in real-world systems, compensations are not always sufficient to guarantee coherent outcomes. This paper introduces a novel perspective on distributed consistency through the concept of a Convergence-Oriented SAGA model. Instead of focusing on execution paths, the proposed approach emphasizes outcome convergence. Systems are designed to continuously reconcile their current state with a desired target state, ensuring that distributed processes move toward consistent outcomes despite failures and uncertainties. The study develops a conceptual and architectural framework for designing fault-tolerant, event-driven systems that prioritize convergence over strict execution control. It demonstrates how this approach enhances resilience, improves consistency, and supports reliable system behavior in high-throughput environments.},
keywords = {Event-Driven Systems, SAGA Pattern, Distributed Systems, Fault Tolerance, Eventual Consistency},
month = {April},
doi = {https://doi.org/10.64388/IREV9I10-1715957}
}