Year: 2025
Type: article
Abstract: The incorporation of cloud infrastructure with DevOps practices has converted the software growth and operations landscape, posing unparalleled advantages such as scalability, flexibility and improved collaboration. Cloud computing delivers the crucial resources that assists the DevOps principles, comprising CI/CD (Continuous Integration, Continuous Delivery) and fast iteration, which are focal to recent software development cycles. This review generates a detailed review of how cloud infrastructure enables DevOps excellence, converging on the role of key cloud services such as IaaS (Infrastructure-as-a-Service), PaaS (Platform-as-a-Service) and SaaS (Software-as-a-Service). By inspecting the symbiotic association between cloud technologies and DevOps methodologies, this review deliberates how the cloud quickens application deployment, fosters collaboration among development and operations teams and enhances resource use. Though, numerous benefits of cloud-based DevOps, organizations faces some challenges in completely utilizing cloud infrastructure for DevOps success. The security concerns, cost management, incorporation with legacy systems and managing hybrid and multi-cloud environments are among the acute hindrances that organizations must tackle to exploit the advantages of cloud for DevOps. The paper examines the challenges and provides plans to overcome them, such as executing robust security practices, enhancing cloud cost management and safeguarding unified incorporation through hybrid environments. Moreover, the review focuses to the future of cloud-powered DevOps, highlighting developing trends such as server less computing, AI-driven DevOps and amended cloud security measures. By examining the above areas, this review targets to guide organizations in enhancing the DevOps progressions and attaining operational effectiveness through cloud implementation.
Author: Linton Kuriakose John
Institution: Walmart (United States)
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409846578