Enhancing Incident Response with AI - Assisted Runbooks: A Framework for Smarter Troubleshooting
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(SRE) teams rely on runbooks to help them troubleshoot and manage incidents, but traditional runbooks can be rigid, outdated, and hard to maintain - especially in fast - evolving tech environments.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.
Authors
- Binoj Melath Nalinakshan Nair
Publication Details
- Journal
- International Journal of Science and Research (IJSR)
- Published
- 2025-02-15
- DOI
- https://doi.org/10.21275/sr25212002547
- Primary Topic
- Anomaly Detection Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00