International Journal on Science and Technology

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Intelligent Evolution: AI-Powered Feedback Loops in DevOps

Author(s) Chandra Prakash Singh
Country United States
Abstract DevOps, an amalgamation of "development" and "operations," represents a transformative approach in software engineering, emphasizing collaboration, automation, and iterative improvement across the software development lifecycle (SDLC). Since its inception in the early 2000s, DevOps has become a pivotal methodology for delivering high-quality software efficiently and reliably. By bridging the traditional gap between development and operations teams, DevOps fosters a culture of shared responsibility and continuous enhancement.
Building on this foundation, Artificial Intelligence (AI) introduces advanced capabilities like predictive analytics, anomaly detection, and intelligent automation into DevOps processes. These AI-driven continuous feedback loops provide real-time performance insights and facilitate automated optimizations, empowering organizations—including those in the healthcare industry—to achieve faster delivery, improved code quality, and enhanced operational resilience.
Keywords Artificial Intelligence, DevOps, Continuous Feedback Loops, Performance Optimization, Machine Learning, Continuous Integration, Continuous Delivery, Automation, Real-time Analytics
Field Engineering
Published In Volume 16, Issue 1, January-March 2025
Published On 2025-02-04
Cite This Intelligent Evolution: AI-Powered Feedback Loops in DevOps - Chandra Prakash Singh - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.5281/zenodo.14802819
DOI https://doi.org/10.5281/zenodo.14802819
Short DOI https://doi.org/g83xmn
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