International Journal For Multidisciplinary Research

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A Cloud-Native Event-Driven Orchestration Framework for Scalable E-Commerce Workflows

Author(s) Mr. Tharun Koundinya Jammulamadaka, Dr. Suresh Kumar Doddi
Country India
Abstract Modern e-commerce platforms must process highly variable traffic while ensuring transactional correctness, strong user privacy, and tight operational budgets. This paper presents the design and evaluation of a Serverless Workflow Management System (SWMS) implemented on Amazon Web Services (AWS) using Amazon API Gateway for ingress, AWS Lambda for stateless compute, Amazon EventBridge for event routing and decoupling, and Amazon DynamoDB for low-latency persistence. Unlike traditional service designs that rely on fixed-capacity fleets and centralized orchestrators, our approach uses contract- governed choreography across granular functions, with exception- only orchestration reserved for long-running compensations. We formalize explicit, versioned event contracts that encode idempotency keys, trace correlation, and semantic invariants to guarantee exactly-once effects despite retries and out-of-order deliveries. Our single-table DynamoDB model is aligned with retail access patterns (order lifecycle, inventory mutations, customer history) and uses conditional writes to enforce invariants such as non-negative stock and immutable monetary totals after capture. The paper contributes: (i) a production-oriented reference architecture and deployment artefacts, (ii) detailed flowcharts and sequence diagrams for order, payment, and inventory domains, (iii) a queueing-informed performance model and cost model that explain the impact of memory sizing and provisioned concurrency on tail latency and spend, (iv) an SRE playbook with SLIs/SLOs, backpressure policies, alerting, and disaster recovery, and (v) a security and compliance mapping (PCI DSS, least- privilege IAM, KMS key management, audit logging) suitable for regulated commerce. In evaluation, we characterize synthetic bursts and a short real run; the serverless design sustains P95 end-to-end latency under 300 ms during 10× spikes when a narrow provisioned-concurrency window is applied, and it exhibits favorable cost-per-1k-orders compared to a containerized baseline at the same SLOs. We close with limitations (cold starts, regional coupling, distributed debugging), mitigations (schema discipline, replay with idempotency, multi-region readiness), and directions for future work.
Keywords Serverless, Event-Driven Architecture, AWS Lambda, Amazon DynamoDB, EventBridge, E-Commerce, Idem- potency, Observability, SRE, Cost Modeling
Field Computer > Data / Information
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-12-07
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.62414
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