AI agents bypass dashboards and query databases directly. This article explains what that means for the architecture of enterprise data systems and systems of record.
AI Doesn’t Read Dashboards… and That Changes Everything for Databases
Tag: performance
Database performance under AI workloads is fundamentally different from human-paced transactional load. AI agents compress think time, expand query fan-out and introduce feedback loops that traditional capacity models were never designed to handle.
Cloud infrastructure adds a further layer of tension: uniform, elastic compute interacts with non-uniform, deterministic database behaviour in ways that become more visible as AI tightens the coupling between them.
Databases Were Built for Humans – AI Agents Change the Equation
Databases were designed for human-paced interaction – sessions, think time and deliberate intent. AI agents remove all three assumptions simultaneously.
Inferencing Is a Database Problem Disguised as an AI Problem
AI inferencing is a database problem disguised as an AI problem. Real-time model workloads expose latency and concurrency demands that enterprise storage wasn’t designed for.
Databases Now Live In The Cloud
Gartner predicted 75% of databases in the cloud by 2022. The industry debate focused on migration – but not on the question that mattered most: what happens to performance?
Don’t Call It A Comeback
flashdba returns from retirement to ask the question nobody in the cloud conversation was asking: when 75% of databases move to the cloud, what actually happens to performance?
flashdba 