Managing Complexity with Multiple API Gateways

The rapid adoption of microservices, cloud-native architectures and distributed application ecosystems has transformed the way organizations design, deploy and manage APIs.Traditionally, a single API gateway has served as the centralized control point for managing API traffic, enforcing security policies and routing requests.However, with the proliferation of multicloud strategies, hybrid infrastructure models, geographically distributed workloads and domain-driven design principles, the one-gateway paradigm often becomes a limiting factor.A single point of control can introduce performance bottlenecks, limit fault isolation and hinder the adoption of diverse technology stacks tailored to specific business units or compliance zones.This shift has driven enterprises toward multi-gateway architectures, where different API gateways operate in parallel to handle varied performance requirements, regulatory constraints and architectural patterns.

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Publication Details

Journal
Journal of Artificial Intelligence Machine Learning and Data Science
Published
2025-09-20
DOI
https://doi.org/10.51219/jaimld/arjun-warrier/606
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Managing Complexity with Multiple API Gateways

Arjun Warrier
Journal of Artificial Intelligence Machine Learning and Data Science
Cloud Computing and Resource Management
article

Managing Complexity with Multiple API Gateways

Arjun Warrier
article en

Abstract

The rapid adoption of microservices, cloud-native architectures and distributed application ecosystems has transformed the way organizations design, deploy and manage APIs.Traditionally, a single API gateway has served as the centralized control point for managing API traffic, enforcing security policies and routing requests.However, with the proliferation of multicloud strategies, hybrid infrastructure models, geographically distributed workloads and domain-driven design principles, the one-gateway paradigm often becomes a limiting factor.A single point of control can introduce performance bottlenecks, limit fault isolation and hinder the adoption of diverse technology stacks tailored to specific business units or compliance zones.This shift has driven enterprises toward multi-gateway architectures, where different API gateways operate in parallel to handle varied performance requirements, regulatory constraints and architectural patterns.

Journal of Artificial Intelligence Machine Learning and Data ScienceVol. 3(3)
LOBA - Customer Experience Design (PT)
Openalex Percentile: Top 62%
Cloud Computing and Resource Management
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Managing Complexity with Multiple API Gateways — Arjun Warrier · Journal of Artificial Intelligence Machine Learning and Data Science (2025) | TGRS Research Map | TGRS