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Implementing Service Mesh Architecture for Scalable Applications

PAGE NO. - · Implementing Service · Mesh Architecture for · Scalable Applications · Mantu Singh · Software Architect

The American Journal of Engineering and Technology · 07 · 7417-7438 · 2025

Аннотация

This study examines a decentralized approach SUBMITED 17 February 2025 to implementing a service mesh for microservice-based ACCEPTED 25 March 2025 systems designed for scalable data processing. Unlike PUBLISHED 30 April 2025 traditional solutions dominated by the pipes-and-filters VOLUME Vol.07 Issue 04 2025 pattern and a centralized control plane, this approach utilizes the concept of Eblocks—unified modules that CITATION incorporate service discovery, authentication, Mantu Singh. (2025). Implementing Service Mesh Architecture for Scalable monitoring, and load management components. This Applications. The American Journal of Engineering and Technology, 7(04), 157–165. https://doi.org/10.37547/tajet/Volume07Issue04-21 allows for the formation of various patterns (manager- worker, divide-and-conquer, hybrid models) directly at COPYRIGHT © 2025 Original content from this work may be used under the terms the microservice level without strict dependence on of the creative commons attributes 4.0 License. centralized logic. It is demonstrated that such an architecture accelerates data processing through automatic scaling and parallel execution, simplifies configuration, and provides flexible security and observability mechanisms. The proposed results, supported by findings from other researchers, indicate a significant increase in system throughput when handling documents requiring pipeline, parallel, and distributed processing. The presented information is of interest to researchers and professionals in distributed systems, cloud computing, and microservice architecture, aiming for a deeper understanding and implementation of innovative service mesh architectures to enhance the scalability, reliability, and efficiency of modern IT applications. Keywords: cloud computing, microservices, service mesh, processing patterns, scalability, decentralized architecture, Eblocks. Introduction: Cloud computing provides flexible and dynamic access to computational resources with minimal management costs. The shift from monolithic applications to microservices enhances autonomy, elasticity, and accelerates the deployment cycle of new features. Microservice architecture promotes The American Journal of Engineering and Technology 157 https://www.theamericanjournals.com/index.php/tajet The American Journal of Engineering and Technology modularity and simplifies the maintenance of large- technology, identifies key challenges, and outlines scale systems; however, it presents engineers with future prospects for serverless approaches in cloud several challenges, including the complexity of services. managing interactions among independent services, ensuring observability, securing communication, and A notable gap in the existing research is the absence of enabling automatic scaling. a unified mechanism for combining multiple processing patterns, such as the sequential integration of To address these challenges, service mesh platforms manager-worker and divide-and-conquer models, have emerged, handling traffic routing, load balancing, within a service mesh. Creating such hybrid patterns encryption, monitoring, and service management still requires either manually configuring multiple tools without modifying business logic. However, most or abandoning the advantages of a transparent service modern service meshes are primarily designed around mesh in favor of low-level orchestration. This lack of a the pipeline processing pattern and lack built-in universal method for integrating diverse microservice support for a broader range of processing patterns, processing patterns into a service mesh model defines such as manager-worker or divide-and-conquer. This the research gap that this study aims to address. limitation restricts developers and architects in designing complex, high-performance systems that The objective of this study is to examine the require flexible management of parallel data streams implementation features of service mesh architecture and distributed task execution. for scalable applications. A comprehensive review of contemporary research The scientific novelty lies in the systematic analysis and follows. Nicolas-Plata A., Gonzalez-Compean J. L., and comparative evaluation of existing research on service Sosa-Sosa V. J. [1], along with Alboqmi R. and Gamble mesh architectures for scalable applications, enabling R. F. [4], propose an innovative approach based on the identification of problem areas and future research service mesh integration to support processing directions. patterns within microservice applications. Parallel to this, the evolutionary transformation of software The proposed hypothesis suggests that implementing a systems from monolithic to microservice architectures comprehensive service mesh, where each microservice is explored in the works of Akerele J. I. et al. [3], is equipped with built-in discovery, authentication, and Newman S. [9], and Decimavilla-Alarcón D. C. and monitoring functions, will: M

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cloud computing, microservices, service, scalability, processing patterns, service mesh
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