International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Scalable Cloud Designs for Global Service Dependability

Author(s) Varun Garg
Country USA
Abstract The rapid growth of cloud computing has transformed the way global apps work and enables businesses to meet the needs of millions of concurrent users. Particularly for systems seeking low latency, exceptional availability, and efficient resource use, scalability and reliability have become more important than ever. This work explores how scalable designs made possible by Microsoft Azure's cloud architecture support global service reliability. Key areas of focus are techniques for load balancing using Azure Load Balancer and Traffic Manager, distributed data processing using Synapse Analytics, and resource optimization with Azure Cost Management and Monitoring tools. Furthermore, under discussion are emerging technologies altering cloud systems coming forward: artificial intelligence-driven scaling and serverless computing. Combining these technologies helps businesses to maintain business use cases, assure operational quality, and be competitive in a quickly changing digital landscape.
Keywords Cloud computing, Scalability, Reliability, Azure Load Balancer, Distributed Data Processing, Serverless Computing, AI-driven Scaling, Global Service Reliability, Resource Optimization, Microsoft Azure.
Published In Volume 2, Issue 4, July-August 2020
Published On 2020-07-21
Cite This Scalable Cloud Designs for Global Service Dependability - Varun Garg - IJFMR Volume 2, Issue 4, July-August 2020. DOI 10.36948/ijfmr.2020.v02i04.23364
DOI https://doi.org/10.36948/ijfmr.2020.v02i04.23364
Short DOI https://doi.org/g82h93
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E-ISSN 2582-2160
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