Observability was built for humans. AI agents need something different
For the past decade, observability vendors have been locked in an interface war. Competing on how tools look and feel. As data ingestion became commoditized through standards like OpenTelemetry, the real differentiation moved up the stack into the user interface (UI).
While vendors competed on visualization, dashboards and workflows, a deeper shift toward unifying logs, traces and metrics into a single, exploratory experience started to happen.
This meant teams could see all activity in a single view and more easily understand what was happening across their systems in real time. Observability became, in many ways, a UI problem, as value centered on how effectively humans could navigate and interrogate complex data to turn it into actionable insights.
That framing served the industry well. But it is now being challenged by a new level of sophistication in modern systems.
The consumer is changing
As agentic AI systems emerge across the enterprise,...
Copyright of this story solely belongs to techradar.com. To see the full text click HERE
