AI-Enhanced Predictive Analytics for DevOps Pipeline Optimization: A Real-Time CI/CD workflow Improvement Case Study

Abstract

Software release cycles are fast, reliable, and scalable using CI/CD pipelines. Software size and complexity make optimizing these approaches challenging. AI-powered predictive analytics may assist real-time CI/CD DevOps pipelines. A case study of mid-sized IT company DevWorks employing AI-based models to detect bottlenecks, enhance resource allocation, and automate real-time correction. By integrating machine learning to the CI/CD pipeline, DevWorks cut build times by 25% and enhanced deployment success by 30%. AI-driven predictive analytics may help DevOps automate, get insights, and release software quicker. AI and DevOps research may scale complex systems without human involvement.