International Journal For Multidisciplinary Research

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

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 1 (January-February 2025) Submit your research before last 3 days of February to publish your research paper in the issue of January-February.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 7 Issue 1
January-February 2025

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Optimizing Cloud Scalability: Advanced Architectures in Azure for High-performance Applications

Author(s) Radhakrishnan Arikrishna Perumal
Country India
Abstract With the growing popularity of cloud computing among various enterprises the need for highly scalable and high performers architectures becomes an imperative for survival. In today’s business environment, organisations face workload volatility challenges in addition to the basic requirements of dependability, productivity and economy. The creation of such goals is built upon the infrastructure hosted by the cloud computing where resources can be adjusted on a per-demand basis. Microsoft Azure, which is among the most popular cloud environments, provides various solutions for coping with heterogeneous demands in building scalable applications. There are main services such as Virtual Machine Scale Sets (VMSS) for automatically scaling, Azure Kubernetes Service (aks) for container orchestration services and the serverless functions including Azure Functions and Logic Apps to reduce challenges related to infrastructure management.
Continuing from our previous papers, this paper aims at discussing new paradigms for architecture in Azure that are pivotal in enabling scalability and high availability at cloud environments. These strategies focus on four major paradigms: The following concepts are very relevant to the context of this article; auto-scaling, distributed computing, serverless architecture, and microservices. Auto-scaling helps applications to scale-up or down with ease, all in order to avoid wastage of the sources with the application delivering the best results online. Majority of distributed computing improves fault tolerance and performance through Azure’s Service Fabric and Functions for partitions and replication. Event-driven Serverless paradigms allows real time scalability without adding multi layer management of server. Of special interest is the focus of the study on how such strategies can be effectively applied in real life situations. A real life example of an e-commerce platform show the powerful approaches of these approaches in managing the seasonal traffic issues and at the same time reduce cost and achieve operational efficiency. This case study shows how Azure’s architectural tools can grow an application to support triple the traffic and do so while maintaining availability and responsiveness.
Keywords Cloud Scalability, Microsoft Azure, Auto-Scaling, Serverless Computing, Cloud-Native Applications, High-Performance Architectures.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 7, Issue 1, January-February 2025
Published On 2025-02-06
Cite This Optimizing Cloud Scalability: Advanced Architectures in Azure for High-performance Applications - Radhakrishnan Arikrishna Perumal - IJFMR Volume 7, Issue 1, January-February 2025. DOI 10.36948/ijfmr.2025.v07i01.35818
DOI https://doi.org/10.36948/ijfmr.2025.v07i01.35818
Short DOI https://doi.org/g84fdr
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 7 Isu 1Cover Page Vol 6 Isu 6Cover Page Vol 6 Isu 5

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9687-828-838 editor@ijfmr.com