Antoine, Lefèvre and Sophie, Garnier (2024) DESIGNING RESILIENT CLOUD STORAGE ARCHITECTURES: A DEEP DIVE INTO AMAZON S3, AZURE BLOB STORAGE, AND GOOGLE CLOUD STORAGE. Journal of Engineering, Mechanics and Modern Architecture, 3 (9). pp. 59-77. ISSN 2181-4384

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Abstract

In the era of digital transformation, resilient cloud storage has become a cornerstone of enterprise IT infrastructure, enabling high availability, durability, and scalability across diverse workloads. This article presents an in-depth comparative analysis of three leading cloud storage platforms—Amazon Simple Storage Service (S3), Microsoft Azure Blob Storage, and Google Cloud Storage—focusing on their architectural designs, fault tolerance mechanisms, data consistency models, and performance optimization strategies. By examining core components such as replication techniques, multi-region redundancy, versioning, and lifecycle management, the article reveals how each platform addresses the challenges of data integrity, disaster recovery, and cost-efficiency at scale. Through real-world use cases and architectural patterns, this deep dive provides IT architects, cloud engineers, and decision-makers with actionable insights to design robust, future-proof storage solutions that align with evolving business continuity and compliance requirements.

Item Type:	Article
Subjects:	Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Divisions:	Postgraduate > Master's of Islamic Education
Depositing User:	Journal Editor
Date Deposited:	04 Jun 2025 12:09
Last Modified:	04 Jun 2025 12:09
URI:	http://eprints.umsida.ac.id/id/eprint/16179

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