From dashboards to decisions: Why AI agents can’t function without observability

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For most of its history, observability has been a human-facing discipline: dashboards with red, yellow and green lights, engineers staring at graphs, alerts routed to a war room. That era, according to Philippe Deblois, Global Vice President of Solutions Engineering at Dynatrace, is ending faster than most enterprises realize.

“AI is the big topic of the day, and it introduces a whole lot more complexity to pretty much any project, any workload that gets submitted into organisations,” Deblois said. “Without visibility, it’s very hard to manage how to automate the actions we want to take based on AI. So observability is becoming more and more critical.”

That single shift — from observability as a human convenience to observability as the precondition for AI to act at all — is reshaping how the discipline is built, sold and used across enterprises. It also explains why, in Deblois’s telling, the last two...

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