Tech »  Topic »  How much infrastructure are you burning while AI thinks?

How much infrastructure are you burning while AI thinks?


As system data grows and budgets tighten, observability must justify its cost with business-aligned outcomes – and that’s a good thing.

This shift signals rising expectations, not diminishing faith. Enterprises still care about uptime, but they increasingly want to know whether their systems are delivering results that matter: seamless user experiences, stable revenue pipelines, reduced operational drag. That’s not a downgrade for observability – it’s a promotion. It means these tools are no longer seen as passive monitors, but as active participants in delivering business value.

Insights from Florian Ortner, SVP of Product Management for Observability at Dynatrace, during the company's London Innovate Roadshow reveal this transformation through the practical constraints and hard-won lessons that actually drive enterprise adoption – moving beyond vendor positioning toward operational reality.

The "use case available" framework

A concept emerging from enterprise observability practices cuts through conventional uptime metrics: "use case availability." This represents ...


Copyright of this story solely belongs to diginomica.com . To see the full text click HERE