Explore techniques for leveraging Site Reliability Engineering (SRE) and observability practices in the context of building applications with Large Language Models (LLMs). Delve into the challenges of integrating LLMs into existing products and learn how to address performance issues, accuracy concerns, and user satisfaction. Discover how to treat LLMs as black boxes within your architecture, similar to APIs and databases, while acknowledging their inherent unpredictability and probabilistic nature. Learn effective instrumentation techniques, implement observability practices, and incorporate Service Level Objectives (SLOs) to ensure the delivery of high-quality services to users. Gain insights into maintaining reliability and performance when working with LLMs, even without extensive machine learning or AI expertise.