Integrating AI and cloud computing for automated DevOps: Developing intelligent systems for continuous integration and deployment

Kodamasimham Krishna *

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Review Article
World Journal of Advanced Research and Reviews, 2023, 18(03), 1618–1627
Article DOI: 10.30574/wjarr.2023.18.3.0686
 
Publication history: 
Received on 09 May 2023; revised on 22 June 2023; accepted on 25 June 2023
 
Abstract: 
Artificial intelligence has raised critical disruptions in software application development and delivery when integrated with DevOps. The Machine learning that AI enhances is used in CI and CD to provide solutions for CI and CD reliability and enhancement. In this paper, the author explains how and to what extent AI technologies enable and evolve DevOps, with an accent on the transformation of DevOps throughout the years, what AI is in terms of automation of workloads, and the connection between AI and cloud. With the help of artificial intelligence, it also describes the opportunities and threats associated with the implementation of DevOps, the use of qualified specialists, data management, and problems of a legal nature. It also looks at the futurology of work such as self-managing DevOps or AI-driven observability and teamwork instruments with an eye on the perspective that they could create more value with less risk and in a shorter time.
 
Keywords: 
Artificial Intelligence; Development Operations; Integrated and Continuous Development; Automation; Machine Learning; Cloud; Self-Operating Systems
 
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