Research Article

Demystifying Cloud-Native Architectures – Building Scalable, Resilient, and Agile Systems

Authors

  • Srinivas Lakkireddy Sri Venkateswara University, India

Abstract

This article explores the transformative potential of cloud-native architectures in addressing the challenges of modern application delivery. Beyond mere cloud migration, cloud-native represents a comprehensive architectural approach leveraging distributed computing, containerization, orchestration, and automation to create inherently scalable and resilient systems. The fundamental principles-microservices decomposition, containerization, dynamic orchestration, declarative configuration, and observability-first design—form the foundation for successful implementations. The article examines key enabling technologies, implementation strategies such as event-driven architecture, API gateways, circuit breakers, and the sidecar pattern, while highlighting real-world success stories from the media streaming, travel, and financial services industries. Though cloud-native adoption introduces significant challenges in complexity management, security, and organizational alignment, the business impacts are substantial: reduced infrastructure costs, enhanced developer productivity, accelerated time-to-market, and improved organizational agility. Looking ahead, multi-cloud optimization, FinOps integration, and edge computing represent promising frontiers as cloud-native principles continue to redefine application development and deployment across industries.

Article information

Journal

Journal of Computer Science and Technology Studies

Volume (Issue)

7 (4)

Pages

836-843

Published

2025-05-21

How to Cite

Srinivas Lakkireddy. (2025). Demystifying Cloud-Native Architectures – Building Scalable, Resilient, and Agile Systems. Journal of Computer Science and Technology Studies, 7(4), 836-843. https://doi.org/10.32996/jcsts.2025.7.4.97

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Keywords:

Microservices, Containerization, Kubernetes Orchestration, DevOps Transformation, Edge Computing