Ultimate LLMOps with Langfuse

Ultimate LLMOps with Langfuse gives you the observability, evaluation, and operational discipline to run LLM systems you can actually trust in production, replacing intuition-driven development with measurable, data-driven engineering practice. You begin with LLM monitoring fundamentals, including tracing, drift detection, and bias awareness, then move into Langfuse's core capabilities, covering instrumentation, observability dashboards, prompt management, and structured evaluation. The book addresses automated scoring, human feedback workflows, cost and latency tracking, and production metrics, grounding every concept in concrete examples and real system architectures. The final section delivers end-to-end playbooks for agentic workflows, RAG pipelines, security guardrails, and LLM governance. By the end of the book, you will be able to instrument, evaluate, and operate production LLM applications with full visibility, debug faster, improve quality continuously, and ship AI features with confidence.