Open standards in 2026: The backbone of modern observability

This article details how to effectively monitor Large Language Models (LLMs) in a production environment using a powerful combination of tools. It demonstrates setting up observability with OpenTelemetry to capture LLM-specific metrics like token usage and latency, then visualizing and analyzing this data with Grafana Cloud and OpenLIT for proactive issue detection and performance optimization. Ultimately, the guide provides a practical framework for understanding and managing LLM behavior in real-world applications.