Optimizing API Latency and Throughput in Digital Commerce Systems Through Hybrid Integration Architectures

Authors: Viplove Goswami

DOI: https://doi.org/10.37082/IJIRMPS.v13.i2.232970

Short DOI: https://doi.org/

Country: United States

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Abstract: API speed is very important in digital commerce, slow APIs can lead to business loss. This will play a major role in shifting from monolithic systems to cloud-native microservices, that will help to improve scalability but introduces latency and synchronization challenges. This research looks at how to optimize API latency and throughput using hybrid integration architectures. This paper evaluates the economic impact of millisecond-level delays by synthesizing empirical data from peer-reviewed studies finding that a 100ms increase in latency consistently correlates with a 1% loss in sales for major retail platforms. This analysis explores technical root causes of bottlenecks specifically investigating the N+1 request problem the overhead of text-based serialization formats like JSON and the limitations of traditional distributed transactions.
This paper suggests shifting to hybrid models that blend on-premises stability and cloud elasticity using declarative API gateways instead of older Enterprise Service Buses (ESBs). It also assesses how well-advanced optimization techniques work such as using binary protocols like Protocol Buffers implementing real-time Change Data Capture (CDC) for data synchronization and applying Hierarchical Deep Reinforcement Learning (HDRL) for dynamic resource allocation. Asynchronous communication paired with edge-assisted processing? That hybrid strategy hits over ten million transactions per second, staying within service level objectives. This white paper offers engineers and stakeholders a complete architectural framework for creating resilient high-performance digital commerce ecosystems that can succeed in today's fast-paced global economy.

Keywords: API Latency, Throughput Optimization, Hybrid Integration Architecture, Digital Commerce, Microservices, Protocol Buffers, Change Data Capture, Cloud-Native Systems, Event-Driven Architecture.

Paper Id: 232970

Published On: 2025-04-09

Published In: Volume 13, Issue 2, March-April 2025

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