For decades, observability had one simple job: is the system running?
Agentic AI just broke that model completely.
An agent can return a clean response, hit its latency target, and throw zero errors, while still giving the customer the wrong answer, calling the wrong tool, or pulling from a stale knowledge base.
By every traditional metric, the system looks perfectly healthy. The only metric that actually matters to the business says it failed.
That's the exact gap AWS is targeting with CloudWatch Omni, aiming to trace the agent's actual reasoning path instead of just checking if it's alive.
It's the difference between an employee's annual performance review and actually sitting down and asking them, in the moment, why they made that one specific call.
🔗 Original Source & Reference: https://siliconangle.com/2026/09/27/aws-cloudwatch-omni-goes-after-the-hardest-question-in-agentic-ai-why-did-the-agent-do-that/
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