Manuscript Number : SHISRRJ2472103

Maximizing Efficiency and Performance using Azure Cloud (Load Balancer)

Authors(2) :-S. E. Suresh, K. Tharun

The allocation of workloads across several computing resources is referred to as load balancing. The objectives of load balancing are to decrease reaction times, increase throughput, avoid overloading any one resource, and optimize resource usage. By distributing a task among redundant computing resources, it can also increase availability. You can divide your workloads across several computer resources by using any of the load-balancing services offered by Azure. Azure Application Gateway, Azure Front Door, Azure Load Balancer, and Azure Traffic Manager are some of these resources. Worldwide: Traffic is divided among cloud services, hybrid on-premises services, and regional back-ends by means of these load-balancing services. End-user traffic is routed by these services to the nearest back-end that is available. In order to optimize availability and performance, they also respond to modifications in service reliability or performance.

Authors and Affiliations

S. E. Suresh
Assistant Professor, Department of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, Andhra Pradesh, India
K. Tharun
Post Graduate, Department of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, Andhra Pradesh, India

Azure Virtual Machines, Azure Kubernetes Service (AKS), Azure Functions, Azure Monitor, Azure Blob Storage, Azure DevOps, Azure Load Balancer, Azure CDN (Content Delivery Network).

  1. Microsoft Azure Documentation: Explore the official documentation provided by Microsoft Azure. The documentation covers a wide range of topics, including best practices, optimization guides, and performance considerations
  2. Azure Architecture Center: The Azure Architecture Center offers guidance on designing and implementing solutions on Azure. It includes reference architectures, best practices, and design patterns.
  3. Azure Blog: Stay updated on the latest announcements, case studies, and best practices by reading the Azure Blog. Microsoft regularly publishes articles on performance improvements and efficiency gains.
  4. Community Forums and Discussions: Participate in Azure-related forums and community discussions. Platforms like Stack Overflow, Reddit (e.g., r/Azure), and the Azure Developer Community are excellent places to ask questions and learn from others.
  5. Books and Online Courses: Explore books and online courses dedicated to Azure best practices and optimization. Platforms like Microsoft Learn offer free online courses.
  6. Whitepapers and Case Studies: Look for whitepapers and case studies related to optimizing performance on Azure. Microsoft often publishes in-depth resources that provide insights into real-world implementations.

Publication Details

Published in : Volume 7 | Issue 2 | March-April 2024
Date of Publication : 2024-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 493-498
Manuscript Number : SHISRRJ2472103
Publisher : Shauryam Research Institute

ISSN : 2581-6306

Cite This Article :

S. E. Suresh, K. Tharun, "Maximizing Efficiency and Performance using Azure Cloud (Load Balancer) ", Shodhshauryam, International Scientific Refereed Research Journal (SHISRRJ), ISSN : 2581-6306, Volume 7, Issue 2, pp.493-498, March-April.2024
URL : https://shisrrj.com/SHISRRJ2472103

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