Factors Influencing the Utilization of Cloud Optimization Tools Among DevOps Engineers
Factors Influencing the Utilization of Cloud Optimization Tools Among DevOps Engineers
Author(s): Rajitha Mawananehewa Jayasekera, Shantha JayalalSubject(s): Economy, ICT Information and Communications Technologies
Published by: Sveučilište J.J. Strossmayera u Osijeku, Fakultet Turizma i ruralnog razvoja u Požegi (Veleučilište u Požegi)
Keywords: DevOps; Cloud Optimization Tools; Cloud Computing; Cloud Optimization Technologies;
Summary/Abstract: Purpose: The purpose of this study is to investigate the reasons why DevOps engineers utilize cloud optimization technologies. The goal is to help decision-makers improve the utilization of cloud technology, ensure cost-effectiveness, and simplify management within the organization. Design: Two hundred individuals were randomly selected from a pool of eight hundred DevOps experts for quantitative research. Ethical issues were given top priority throughout the study process. Methodology: Rigorous regression and correlation studies were carried out with a 95% confidence level. The study delved into significant correlations between independent factors and the company's cloud optimisation. Approach: The study focused on reducing maintenance costs, improving scalability, and efficient resource utilisation as major goals. Participants emphasised the significance of cost savings, scalability, and simpler management. Findings: The research showed significant correlations between independent factors and the company's cloud optimisation. The findings suggest that firm decision-makers focus on reducing maintenance costs, improving scalability, and efficiently utilizing resources to help their DevOps teams successfully use cloud optimization technologies. Originality:The study offers practical recommendations for organizational tactics that promote the efficient use of cloud technologies.It illuminates the unique preferences of DevOps engineers regarding cloud optimisation technologies.
Journal: Vallis Aurea (Journal of Sustainable Development and Innovation)
- Issue Year: 10/2024
- Issue No: 1
- Page Range: 39-56
- Page Count: 18
- Language: English
