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A CloudFormation template using AWS golden standards to avoid cascading failures in hardware

Kaushik, Arnauv (2021) A CloudFormation template using AWS golden standards to avoid cascading failures in hardware. Masters thesis, Dublin, National College of Ireland.

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Abstract

The world of IT has been revolutionized by introduction of cloud computing, reason being that one does not need to invest enormous amounts of money to setup a business today, the resources can be made readily available instead of waiting for long, the biggest advantage of cloud impacts every commoner as well, the data can be stored to cloud and can be viewed anywhere, this directly results in remote access and data recovery. Apart from the cloud itself, the sub-technologies or the applications of cloud computing such as AI and ML are taking on the industry today by storm. However, with time and increase in the competition, getting these on-demand IT services is no longer a stand-out feature, customers and client today focus on non-functional requirements as well such as availability, reliability, scalability etc. The main reason can be linked to user-experience as well and can make or break a deal. In a quest to expand worldwide and to provide for a large number of present and future clients, providers and expanding their datacenters in terms of numbers. This results in them having large number of complex hardware that need to communicate with one another almost all the time even when not being used actively, this may result in cascading failures in case a core element fails or shuts down abruptly. Currently, there is no single paper that covers all of the main non-functional requirements combined with modern software practices such as microservices, queues so as to use software as a shield to defend against any possible failures arising due to hardware. This paper aims to use software best practices to make a cloud-environment free of disruptions and hence providing the much-needed user-experience that stands out in today’s market.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science

T Technology > T Technology (General) > Information Technology > Cloud computing
Divisions: School of Computing > Master of Science in Cloud Computing
Depositing User: Clara Chan
Date Deposited: 13 Oct 2021 17:47
Last Modified: 13 Oct 2021 17:47
URI: http://norma.ncirl.ie/id/eprint/5088

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