The Future of Multi-Cloud Strategies: Orchestrating Innovation Across Distributed Environments
Uday Kiran Yedluri
International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2025, vol. 11, issue 2, 1434-1443
Abstract:
The rapid evolution of multi-cloud architectures has fundamentally transformed enterprise IT operations, enabling organizations to distribute workloads strategically across multiple providers. This article explores the maturation of multi-cloud strategies through several critical dimensions: the historical progression from single to multi-cloud deployments, advanced orchestration frameworks leveraging containerization and Infrastructure-as-Code methodologies, AI-driven optimization capabilities that enhance both performance and cost-efficiency, and the complex security and compliance considerations inherent in distributed environments. The article demonstrates how organizations achieve substantial operational improvements while addressing industry-specific challenges through detailed case studies spanning financial services, healthcare, retail, and manufacturing sectors. The article identifies emerging trends in distributed cloud architectures and highlights strategic implications for future IT infrastructure management, emphasizing the critical role of standardized practices and organizational capabilities in achieving multi-cloud maturity.
Keywords: Cloud orchestration; Workload optimization; Security posture management; Infrastructure automation; Digital transformation (search for similar items in EconPapers)
Date: 2025
Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT25112502
References: Add references at CitEc
Citations:
Downloads: (external link)
https://ijsrcseit.com/home/article/view/CSEIT25112502 Article URL (text/html)
https://ijsrcseit.com/home/article/download/CSEIT25112502/CSEIT25112502 Full text (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:jbh:ijsrcs:v11:y2025:i2:id:1209
DOI: 10.32628/CSEIT25112502
Access Statistics for this article
More articles in International Journal of Scientific Research in Computer Science, Engineering and Information Technology from International Journal of Scientific Research in Computer Science, Engineering and Information Technology
Bibliographic data for series maintained by Pankaj Sharma ().