LLM Monitoring and Observability: Hands-on with Langfuse

Monitoring and observability are essential for maintaining the performance and reliability of complex LLM applications. These practices help diagnose issues by tracing requests through the system, tracking key metrics like latency and cost, and managing user experience. The content introduces several open-source tools for this purpose, focusing specifically on Langfuse as a model-agnostic solution. It then provides a hands-on tutorial for implementing Langfuse, covering instrumentation with its SDKs and the process for self-hosting the dashboard and a required Postgres database using Docker.