• Anuj Tyagi

The trends most evident in software development put much pressure on organizations to produce quality software quickly. Due to its strong focus on automation, pulling together, and continuous delivery, DevOps could be considered the foundation of the current approaches to software development. Though the CI/CD pipeline becomes more sophisticated and encounters real-time decision-making associated with it, your work is challenging. This paper aims to describe Intelligent DevOps, applying Artificial Intelligence (AI) and Machine Learning (ML) in the CI/CD process and improving the Software Delivery Lifecycle. AI helps DevOps teams avoid repetitive tasks, identify reasons for pipeline failure, gain more control over resource usage, and increase pipeline effectiveness. The study addressed current trends in AI automation of the DevOps process, as well as adoption prospects and threats, and presented an AI in DevOps framework. Based on a set of paired low-level cases and high-level experiments, this research proves the effectiveness and capability of Intelligent DevOps in terms of increasing speed, improving stability, and cutting the cost of software delivery. The results will provide a roadmap for organizations planning to implement AI-based augmented/automated DevOps practices and a reference for researchers wanting to study future developments in this constantly advancing area.

Intelligent DevOps, Artificial Intelligence (AI), Machine Learning (ML), Continuous Integration (CI), Continuous Delivery/Deployment (CD), CI/CD Pipelines, Automation, Predictive Analytics.

"Intelligent DevOps: Harnessing Artificial Intelligence to Revolutionize CI/CD Pipelines and Optimize Software Delivery Lifecycles", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 3, page no.367-385, March-2021, Available :http://www.jetir.org/papers/JETIR2103439.pdf

"Intelligent DevOps: Harnessing Artificial Intelligence to Revolutionize CI/CD Pipelines and Optimize Software Delivery Lifecycles", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 3, page no. pp367-385, March-2021, Available at : http://www.jetir.org/papers/JETIR2103439.pdf