Turning Chaotic Observability Data into Actionable Graphs with UModel
This article examines the evolution of IT observability, explains why traditional metrics, traces, and logs fall short for AI‑driven operations, and introduces UModel—a graph‑based universal observability model that structures fragmented data into a semantic runtime context for autonomous AIOps agents.
