Observability was built for humans. AI agents need something different
The article discusses the evolving landscape of observability as AI agents become more prevalent in enterprises. It highlights the shift from human operators as the primary consumers of observability data to machine-driven systems. This change necessitates a reevaluation of how data is structured and accessed to meet the needs of AI agents.
- ▪Observability has traditionally focused on human operators navigating complex data.
- ▪With the rise of AI agents, the primary consumer of observability data is shifting to machines.
- ▪The emphasis is now on ensuring systems have the right data and properties for AI reasoning.
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Pro Observability was built for humans. AI agents need something different Opinion By Arno van Driel, Mike Shi published 26 May 2026 AI agents reshape observability, demanding data-first infrastructure When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. (Image credit: Getty Images) Copy link Facebook X Whatsapp Reddit Pinterest Flipboard Threads Email Share this article 0 Join the conversation Follow us Add us as a preferred source on Google Newsletter Subscribe to our newsletter For the past decade, observability vendors have been locked in an interface war. Competing on how tools look and feel.
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