Microservices Architecture in E-commerce: A Comparative Analysis of Performance, Scalability, and Maintainability

The rapid evolution of e-commerce platforms demands architectures that can seamlessly handle growing user bases, complex functionalities, and dynamic market trends. This paper presents a comparative analysis of microservices architecture with a focus on its performance, scalability, and maintainability within e-commerce systems. By decomposing monolithic applications into smaller, independently deployable services, microservices offer the potential for improved load distribution, faster deployment cycles, and enhanced fault isolation. Our study evaluates the trade-offs between traditional monolithic designs and microservices, examining key performance metrics such as response time and throughput under varying loads. Additionally, we explore how the inherent modularity of microservices facilitates scalability by enabling targeted resource allocation and independent scaling of critical components. The analysis further highlights the maintainability advantages provided by clear service boundaries, which simplify updates and reduce the impact of changes across the system. The insights derived from real-world case studies and simulation data underscore the viability of microservices in addressing the unique challenges of modern e-commerce platforms, paving the way for future developments in architecture design and implementation strategies.

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Publication Details

Journal
International Journal for Research Publication and Seminars
Published
2025-04-02
DOI
https://doi.org/10.36676/jrps.v16.i2.56
Citations
1
Primary Topic
Software System Performance and Reliability
Type
article
Field-Weighted Citation Impact
1.49
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article

Microservices Architecture in E-commerce: A Comparative Analysis of Performance, Scalability, and Maintainability

Swamy Sai Krishna Kireeti Athamakuri, Jagadeesh Thiruveedula
1 citations
International Journal for Research Publication and Seminars
Software System Performance and Reliability
1.49
article

Microservices Architecture in E-commerce: A Comparative Analysis of Performance, Scalability, and Maintainability

Swamy Sai Krishna Kireeti Athamakuri, Jagadeesh Thiruveedula
article en
1 citations

Abstract

The rapid evolution of e-commerce platforms demands architectures that can seamlessly handle growing user bases, complex functionalities, and dynamic market trends. This paper presents a comparative analysis of microservices architecture with a focus on its performance, scalability, and maintainability within e-commerce systems. By decomposing monolithic applications into smaller, independently deployable services, microservices offer the potential for improved load distribution, faster deployment cycles, and enhanced fault isolation. Our study evaluates the trade-offs between traditional monolithic designs and microservices, examining key performance metrics such as response time and throughput under varying loads. Additionally, we explore how the inherent modularity of microservices facilitates scalability by enabling targeted resource allocation and independent scaling of critical components. The analysis further highlights the maintainability advantages provided by clear service boundaries, which simplify updates and reduce the impact of changes across the system. The insights derived from real-world case studies and simulation data underscore the viability of microservices in addressing the unique challenges of modern e-commerce platforms, paving the way for future developments in architecture design and implementation strategies.

International Journal for Research Publication and SeminarsVol. 16(2)
Andhra University (IN), Jawaharlal Nehru Technological University, Kakinada (IN)
Openalex Percentile: Top 19%
Software System Performance and Reliability
1.49
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Microservices Architecture in E-commerce: A Comparative Analysis of Performance, Scalability, and Maintainability — Swamy Sai Krishna Kireeti Athamakuri, Jagadeesh Thiruveedula · International Journal for Research Publication and Seminars (2025) | TGRS Research Map | TGRS