Pete Hampton

Site Reliability Engineers spend countless hours diagnosing complex production issues and optimizing system performance. This talk explores how Large Language Models can augment SRE workflows with real-world examples. We'll also demonstrate live tooling that leverages AI to optimize database configurations - automatically recommending ordering keys, generating materialized views, and suggesting performance improvements based on query patterns and system metrics. Rather than theoretical possibilities, this talk focuses on practical implementations with measurable results. Attendees will learn actionable strategies for integrating LLMs into their SRE workflows, understand the current boundaries of AI effectiveness in operations, and see concrete examples of tooling already delivering value in production environments.