Sustainable Optimization of the CI/DC Cycle through Artificial Intelligence: An Efficient and Green Approach to DevOps Practices
Year: 2025
Type: article
Abstract: This article discusses the impact of artificial intelligence (AI) on optimizing the continuous integration and delivery (CI/CD) cycle, with an emphasis on sustainable and green practices in DevOps environments. As demands for software increase, so does the energy consumption of technology infrastructures. This study proposes an AI-based approach to improve operational efficiency and reduce the carbon footprint in DevOps environments, integrating predictive models, intelligent automation, and sustainability metrics. A quantitative methodology was applied through experimentation in continuous integration environments, evaluating energy consumption, performance and deployment time. The results show that the implementation of AI can reduce the energy consumption of the CI/DC cycle by up to 25%. This research contributes to the development of greener and more resilient software engineering.
DOI: 10.64252/prggan54
Author: William Emmanuel Castillo Ortega
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4411951788