Purpose: This paper presents a systematic review and comparative analysis of the Amazon Web Services (AWS) cloud platform, focusing on its foundational architecture, economic implications, and persistent challenges, to guide strategic adoption and define future research trajectories.

Design/Methodology/Approach: We employ a systematic review methodology, synthesizing evidence from a curated selection of foundational academic and authoritative industry literature [4, 5, 6]. The analysis is structured across three core dimensions: architectural components, economic models, and future strategic considerations. A comparative approach is used to contrast the cloud model with traditional on-premise infrastructure[18,19].

Findings: The findings highlight that AWS’s dominance stems from its highly redundant global infrastructure, which offers unparalleled scalability and resilience, effectively shifting capital expenditure (CapEx) to operational expenditure (OpEx). However, this ecosystem introduces complexity in cost management (FinOps) and necessitates a strict adherence to the Shared Responsibility Model to maintain a secure posture [5]. Analysis of market data confirms its sustained leadership position [8]. Mastering the complex usage-based billing requires the implementation of advanced FinOps frameworks, leveraging automation and AI to ensure continuous cost optimization and governance.

Originality/Value: This article addresses key literature gaps by providing a holistic, three-dimensional framework for understanding the AWS ecosystem, offering both a technical overview and a strategic decision-making guide for researchers and practitioners. It explicitly outlines future research needs, particularly in empirical performance validation and sustainable cloud computing practices.

Cloud Computing, Amazon Web Services (AWS), Infrastructure-as-a-Service, Systematic Review

Edureka, https://www.edureka.co/blog/devops- tutorial

AWS official website –https://aws.amazon.com

Akshay Kushwaha. Research Paper on AWS Cloud Infrastructure vs Traditional On- Premise. International Research Journal of Engineering and Technology (IRJET), Volume 07, Issue 01, Jan 2020.

Neha Kewate, Amruta Raut, Mohit Dubekar, Yuvraj Raut, & Prof. Ankush Patil. A Review on AWS - Cloud Computing Technology. International Journal for Research in Applied Science & Engineering Technology (IJRASET), Volume 10, Issue I, Jan 2022.

Tec Target website –https://www.techtarget.com

https://www.irjet.net/archives/V7/i1/IRJET-V7I131.pdf

Figures and survey results (1 and 2): https://www.statista.com/statistics/511518

/worldwide-survey-private-coud-services- running-application/

Figures and survey results (6 and 7)

Koneru, N. M. K. (2025). Containerization best practices: Using Docker and Kubernetes for enterprise applications. Journal of Information Systems Engineering and Management, 10(45s), 724–743. https://doi.org/10.55278/jisem.2025.10.45s.724

Murali Krishna Koneru, N. (2025). Centralized logging and observability in AWS: Implementing ELK Stack for enterprise applications. International Journal of Computational and Experimental Science and Engineering, 11(2).https://doi.org/10.22399/ijcesen.2289

Naga Murali Krishna Koneru. (2025). Leveraging AWS CloudWatch, Nagios, and Splunk for real-time cloud observability. International Journal of Computational and Experimental Science and Engineering, 11(3). https://doi.org/10.22399/ijcesen.3781

Hariharan, R. (2025). Zero trust security in multi-tenant cloud environments. Journal of Information Systems Engineering and Management, 10(45s). https://doi.org/10.52783/jisem.v10i45s.8899

Reddy Dhanagari, M. (2025). Aerospike: The key to high-performance real-time data processing. Journal of Information Systems Engineering and Management, 10(45s), 513– 531. https://doi.org/10.55278/jisem.2025.10.45s.513

Gannavarapu, P. (2025). Performance optimization of hybrid Azure AD join across multi-forest deployments. Journal of Information Systems Engineering and Management, 10(45s), e575–e593. https://doi.org/10.55278/jisem.2025.10.45s.575

Venkiteela, P. (2025). Modernizing opportunity-to-order workflows through SAP BTP integration architecture. International Journal of Applied Mathematics, 38(3s), 208–228. https://doi.org/10.58298/ijam.2025.38.3s.12

Toffetti, G., Brunner, S., Blöchlinger, M., Spillner, J., & Bohnert, T. M. (2017). Self- managing cloud-native applications: Design, implementation, and experience. Future Generation Computer Systems, 72, 165–179.

Chadha, K. S. (2025). Zero-trust data architecture for multi-hospital research: HIPAA-compliant unification of EHRs, wearable streams, and clinical trial analytics. International Journal of Computational and Experimental Science and Engineering, 11(3). https://doi.org/10.22399/ijcesen.3477

Kawaljeet Singh Chadha. (2025). Edge AI for real-time ICU alarm fatigue reduction: Federated anomaly detection on wearable streams. Utilitas Mathematica, 122(2), 291–308.https://utilitasmathematica.com/index.php/Index/article/view/2708

Prassanna Rao Rajgopal . Secure Enterprise Browser - A Strategic Imperative for Modern Enterprises. International Journal of Computer Applications. 187, 33 ( Aug 2025), 53-66. DOI=10.5120/ijca2025925611