AI in observability in 2026: Huge potential, lingering concerns

This article details how to effectively monitor Large Language Models (LLMs) in a production environment using a robust observability stack. It outlines leveraging Grafana Cloud, OpenLIT (an open-source LLM observability framework), and OpenTelemetry to track key LLM metrics like token usage, latency, and error rates. By combining these tools, developers can gain valuable insights into LLM performance, cost, and quality, ultimately improving their applications.