A comprehensive Secure Serverless Container-based Architecture (SSCAR)

Ali, Kamrun Nahar (2022) A comprehensive Secure Serverless Container-based Architecture (SSCAR). Masters thesis, Dublin, National College of Ireland.

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Abstract

Due to the inherent flexibility and scalability, serverless computing in combination with microservice deployment is emerging as the most promising and ever-growing service available today. Public cloud service provider’s serverless computing, also known as Function-as-service enables developers to build an application without having to worry about infrastructure. However, certain obstacles exist on public cloud platforms, such as vendor lock-in, computing constraints, regulatory constraints, and security vulnerabilities. As a result, there is increased interest in deploying serverless computing on private infrastructure. Containers are one of the most popular techniques to create serverless computing enabling the use of an existing framework. Microservice architecture is worth the exposure due to its ability to expand quickly with minimized cost and high reliability is essential. With the ease of development, containers can bring some serious security threats to application owners. This research has implemented a serverless event-driven container-based (with docker container) framework in Azure with added security steps such as RBAC, image scanning, and identity verification which allows a safe container image run. The evaluation's findings demonstrated that the SSCAR architecture can make it simple to deploy customized serverless event-driven functionalities while managing and monitoring the Azure generated logs. This research has identified a niche for secure container-based serverless Azure framework applications that can be deployed to any company segment interested in moving to the cloud and experimenting with a cost-effective solution without having to be concerned about vendor lock-in.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Sahni, Vikas UNSPECIFIED
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:	Tamara Malone
Date Deposited:	18 Apr 2023 13:26
Last Modified:	18 Apr 2023 13:26
URI:	https://norma.ncirl.ie/id/eprint/6457

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