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It's the end of observability as we know it (and I feel fine)
The history of observability tools over the past decade has been about a pretty simple concept, but LLMs bring the death of that paradigm.
In a really broad sense, the history of observability tools over the past couple of decades have been about a pretty simple concept: how do we make terabytes of heterogeneous telemetry data comprehensible to human beings? Emergent system behavior can be detected and addressed by AI, with unattended agents identifying impacts to users, investigating them, compiling reports, and presenting those to human operators for approval and tweaks before making changes. Confirm if the 4-hour pattern matches your load testing schedule If it’s real traffic, investigate checkout service capacity and dependencies Consider implementing checkout-specific performance monitoring and alerting
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