Review Article Open Access December 27, 2023

Ensuring High Availability and Resiliency in Global Deployments: Leveraging Multi-Region Architectures, Auto Scaling, and Traffic Management in Azure and AWS

1
Quality Assurance Analyst, General Motors, Michigan, USA
Page(s): 46-55
Received
July 12, 2023
Revised
October 23, 2023
Accepted
December 20, 2023
Published
December 27, 2023
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright: Copyright © The Author(s), 2023. Published by Scientific Publications
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Cite This Article

APA Style
Surabhi, M. D. (2023). Ensuring High Availability and Resiliency in Global Deployments: Leveraging Multi-Region Architectures, Auto Scaling, and Traffic Management in Azure and AWS. Open Journal of Agricultural Research, 3(1), 46-55. https://doi.org/10.31586/jaibd.2023.1208
ACS Style
Surabhi, M. D. Ensuring High Availability and Resiliency in Global Deployments: Leveraging Multi-Region Architectures, Auto Scaling, and Traffic Management in Azure and AWS. Open Journal of Agricultural Research 2023 3(1), 46-55. https://doi.org/10.31586/jaibd.2023.1208
Chicago/Turabian Style
Surabhi, Manogna Dolu. 2023. "Ensuring High Availability and Resiliency in Global Deployments: Leveraging Multi-Region Architectures, Auto Scaling, and Traffic Management in Azure and AWS". Open Journal of Agricultural Research 3, no. 1: 46-55. https://doi.org/10.31586/jaibd.2023.1208
AMA Style
Surabhi MD. Ensuring High Availability and Resiliency in Global Deployments: Leveraging Multi-Region Architectures, Auto Scaling, and Traffic Management in Azure and AWS. Open Journal of Agricultural Research. 2023; 3(1):46-55. https://doi.org/10.31586/jaibd.2023.1208
@Article{ojar1208,
AUTHOR = {Surabhi, Manogna Dolu},
TITLE = {Ensuring High Availability and Resiliency in Global Deployments: Leveraging Multi-Region Architectures, Auto Scaling, and Traffic Management in Azure and AWS},
JOURNAL = {Open Journal of Agricultural Research},
VOLUME = {3},
YEAR = {2023},
NUMBER = {1},
PAGES = {46-55},
URL = {https://www.scipublications.com/journal/index.php/JAIBD/article/view/1208},
ISSN = {2769-8874},
DOI = {10.31586/jaibd.2023.1208},
ABSTRACT = {Modern organizations leverage highly distributed, global deployments to provide high availability and resiliency for cloud-first applications. By hosting these applications across multiple geographic locations and relying on highly available services, organizations can prevent disruption to their business and reduce complexity by employing the scale of infrastructure offered by major cloud providers. Global deployments in the cloud are built on well-known models such as failover, load balancing, and scalability. However, traditional methods used to recover from regional failure—while effective—can be complex. Typical multi-region recovery and high availability system architectures have latency and cost risks that should be considered when facing other limitations such as deployment models in the cloud. This document describes the different traffic management techniques that can be applied to multi-region strategies, focusing on trade-offs and costs. The introduction of new traffic management techniques being applied to the traditional global architectures now allows organizations to adopt cloud services more efficiently. Traffic management is much more straightforward in some environments, while others have started to leverage their traffic management platform via routing. In multi-region deployments, active-active and active-passive are the most common architectural models, allowing organizations to seamlessly handle failover, scalability, and global distribution based on business goals and requirements. However, traffic management for these infrastructures is critical to ensure just data distribution and efficiency, maintaining costs under control and workloads rerouted when necessary. Using the new traffic management techniques will allow organizations to evolve system architectures easily based on business requirements, taking advantage of cost benefits from multiple infrastructures. In these scenarios, traffic management becomes a crucial backbone of success to ensure that traffic is being efficiently and intelligently distributed [1].},
}
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