SEGA-Driven Architecture for Event-Driven, Cloud-Native Order Management Systems

• Author(s): Ravi Teja Jonnalagadda
• Paper ID: 1710418
• Page: 524-529
• Published Date: 28-02-2024
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 7 Issue 8 February-2024

Abstract

The rapid growth of e-commerce has generated unprecedented requirements for order management systems (OMS) that are both highly scalable and fault-tolerant. These systems must be capable of processing millions of transactions each day while ensuring low latency and maintaining transactional consistency. Traditional monolithic architectures struggle to meet such demands because of their rigid design, limited elasticity, and operational fragility. Even microservice-based implementations, which offer improved modularity and scaling, are often challenged by distributed transaction failures, data inconsistency, and management complexity in high-throughput environments. The SEGA pattern (Saga Execution with Guardrails and Automation) emerges as an advanced evolution of the traditional Saga model, specifically engineered to mitigate these limitations. SEGA introduces a structured set of guardrails, proactive validation layers, and automated compensation workflows that are supplemented by intelligent failure detection. These enhancements enable transactional workflows to not only ensure eventual consistency but also proactively prevent erroneous operations from propagating across the system. This paper presents a comprehensive architectural framework and reference implementation for applying SEGA to large-scale, cloud-native OMS. The approach leverages Spring Boot microservices for modular decomposition, Apache Kafka for high-throughput asynchronous event streaming, AWS DynamoDB Streams for near real-time propagation of state changes, and AWS Lambda and ECS for elastic workload scaling. Guardrails are incorporated at every critical transaction stage, such as order validation, payment authorization, and inventory reservation, to enforce business rules and eliminate cascading failures. In scenarios of partial or complete failure, the automation layer initiates context-sensitive compensation logic without the need for manual intervention, ensuring both resilience and operational continuity. We further integrate RAFT-based consensus coordination to provide ordering guarantees and minimize anomalies in highly concurrent environments. Validation through production-scale deployments demonstrates the impact of SEGA, showing a 37% increase in throughput, a 28% reduction in operational incidents, a 42% decrease in Mean Time to Recovery (MTTR), and more than 50,000 USD in annual AWS cost savings. Comparative studies across e-commerce, banking, and healthcare domains confirm the generalizability of the pattern. The paper concludes by examining trade-offs, design challenges, and directions for future work, including the role of AI-driven decisioning in guardrail enforcement and the potential of serverless orchestration technologies. The findings establish SEGA as a robust, versatile, and domain-agnostic pattern for mission-critical distributed systems requiring high availability and transactional integrity

Citations

IRE Journals:
Ravi Teja Jonnalagadda "SEGA-Driven Architecture for Event-Driven, Cloud-Native Order Management Systems" Iconic Research And Engineering Journals Volume 7 Issue 8 2024 Page 524-529

IEEE:
Ravi Teja Jonnalagadda "SEGA-Driven Architecture for Event-Driven, Cloud-Native Order Management Systems" Iconic Research And Engineering Journals, 7(8)