Optimizing Data Storage & Retreival in Microsoft Azure for  Scalable Application

Author(s)	Upesh Kumar Rapolu
Country	United States
Abstract	Optimizing data management and retrieval is critical for scalable applications in today’s rapidly growing digital ecosystem. Microsoft Azure, through its robust storage solutions, particularly Azure Blob Storage, supports efficient data operations for cloud-based applications. This paper explores strategies for optimizing Azure Blob Storage, focusing on designing scalable architectures, analyzing workloads, and implementing containerization. Additionally, it examines tiered storage options—Hot, Cool, and Archive tiers—and lifecycle management policies to balance cost and performance. By leveraging Azure's capabilities, organizations can achieve enhanced scalability, efficient data retrieval, and cost-effective storage, providing a reliable foundation for modern applications.
Keywords	Azure Blob Storage, Scalable Applications, Data Management, Microsoft Azure, Cloud Computing, Containerization, Tiered Storage
Field	Engineering
Published In	Volume 16, Issue 1, January-March 2025
Published On	2025-01-29
Cite This	Optimizing Data Storage & Retreival in Microsoft Azure for Scalable Application - Upesh Kumar Rapolu - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.1646
DOI	https://doi.org/10.71097/IJSAT.v16.i1.1646
Short DOI	https://doi.org/g83jg2

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