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Study Papers | Computer Science and Information Technology | United States of America | Volume 14 Issue 2, February 2025 | Rating: 4.7 / 10
Enhancing Incident Response with AI - Assisted Runbooks: A Framework for Smarter Troubleshooting
Binoj Melath Nalinakshan Nair
Abstract: Site Reliability Engineering (SRE) teams rely on runbooks to help them troubleshoot and manage incidents, but traditional runbooks can be rigid, outdated, and hard to maintain - especially in fast - evolving tech environments. This paper explores how integrating AI - assisted runbooks, powered by structured prompts, can make incident response faster, more efficient, and more reliable. We present a framework that uses Large Language Models (LLMs) and structured prompting to create flexible, context - aware troubleshooting guides. Techniques like few - shot prompting, chain - of - thought reasoning, and self - refinement are key to this approach.
Keywords: Prompt Engineering, Site Reliability Engineering, AI - assisted Runbooks, Large Language Models, Incident Management, Observability
Edition: Volume 14 Issue 2, February 2025,
Pages: 714 - 716