Factors Influencing the Utilization of Cloud Optimization Tools Among DevOps Engineers Cover Image

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 Jayalal
Subject(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.

  • Issue Year: 10/2024
  • Issue No: 1
  • Page Range: 39-56
  • Page Count: 18
  • Language: English
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