Intelligent Cloud-Native AI-Powered Devops Copilot

The rapid growth of modern software delivery pipelines has increased the complexity of diagnosing Continuous Integration and Continuous Deployment (CI/CD) failures, often leading to prolonged debugging cycles, repeated manual investigation, and elevated Mean Time to Recovery (MTTR). To address these challenges, this paper proposes an Intelligent Cloud-Native AI-Powered DevOps Copilot that automates log ingestion, analysis, and fault interpretation with minimal human intervention. The system captures CI pipeline logs through an ingestion API, stores them efficiently in a lightweight database, and applies AI-driven reasoning to extract root causes and recommend actionable fixes. A streamlined web dashboard provides real-time visibility into pipeline status, success trends, and detailed failure insights, enabling engineers to rapidly navigate logs and initiate triage. The platform is deployed using containerized microservices, ensuring portability, scalability, and seamless interaction between backend services and the user interface. Experimental usage demonstrated faster fault understanding, reduced manual log scanning effort, and improved decision-making for engineering teams. The results highlight the potential of AI-assisted DevOps tools to enhance operational efficiency, improve software reliability, and pave the way for more autonomous deployment workflows. This work serves as a foundational step toward intelligent DevOps ecosystems capable of proactive detection, automated triage, and future large-scale optimization.