Analyzing and Benchmarking the Performance of Different Cloud Services for Agile App Deployment

Abstract

Cloud computing has become a popular method for organizations to deploy and host websites. The cloud offers several innovative solutions and services for these tasks, but they also bring new challenges. Selecting the appropriate cloud platform and deployment method for a specific use case can be challenging due to the wide variety of options available in the market. The selection is also usually based on the specific requirements and technologies of the use case. This thesis aims to assist in the process of selecting a cloud platform and provide benchmarks and analysis of several cloud service providers (CSPs) and deployment methods. Two deployment methods are presented. The first method involves automatic deployment on CSPs through GitHub integration, while the second method utilizes a manual Dockerized approach with a virtual machine instance deployed in OpenStack. Analysis and benchmarks are conducted to obtain metrics based on resource usage and performance. The results obtained will be further analyzed to decide upon the CSP with the optimal performance. Huldra will be used as a test case for the deployment and hosting project. This is a React based survey framework developed by SimulaMet in Oslo, Norway. SimulaMet is currently exploring new approaches and services for deploying and hosting a Huldra survey in the cloud, which makes it a relevant use case. The thesis conclusion includes the approaches that can be applied to benchmark and analyze cloud services and deployment methods and assist in the selection of an alternative. The findings of the study are further presented which led to the conclusion that one CSP stood out as the optimal choice among the alternatives included.