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Database Systems Under Pressure

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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.

The Hidden Cost of Letting AI Agents Query Live Systems

AI agents querying a live enterprise database – illustrating the hidden performance cost of unplanned, machine-generated SQL on production systems

AI agents querying live databases generate unplanned load that breaks enterprise performance assumptions. This article explains the hidden cost for systems of record.

flashdba AI, Cloud, Databases Leave a comment March 9, 2026May 11, 2026 4 Minutes

The Cloud Is Built on Uniformity. Databases Are Not

Cloud infrastructure built on uniformity contrasted with enterprise databases that demand architectural specificity and performance predictability

Cloud infrastructure assumes workloads are uniform. Enterprise databases are the exception – and AI is making that tension more visible than ever.

flashdba AI, Cloud, Databases Leave a comment March 2, 2026May 11, 2026 3 Minutes

Why We Spent 20 Years Protecting Databases from Analytics (and Why AI Just Broke That Truce)

Twenty years of ETL-era database protection from analytics workloads – and how agentic AI has broken that long-standing architectural truce

For two decades, DBAs protected production databases from analytics workloads. AI agents have ended that truce and the consequences go deeper than most realise.

flashdba AI, Cloud, Databases Leave a comment February 23, 2026May 11, 2026 3 Minutes

AI Doesn’t Read Dashboards… and That Changes Everything for Databases

AI agents bypassing dashboards to query databases directly – replacing human interpretation with machine-speed access to systems of record

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.

flashdba AI, Cloud, Databases February 16, 2026May 11, 2026 3 Minutes

Databases Were Built for Humans – AI Agents Change the Equation

Enterprise databases built for human-paced interaction now facing agentic AI that removes the assumptions of think time, session boundaries and deliberate intent

Databases were designed for human-paced interaction – sessions, think time and deliberate intent. AI agents remove all three assumptions simultaneously.

flashdba AI, Cloud, Databases February 10, 2026May 11, 2026 3 Minutes

Inferencing Is a Database Problem Disguised as an AI Problem

AI inferencing reframed as a database performance problem – latency, concurrency and data access patterns under real-time machine workloads

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.

flashdba AI, Cloud, Databases February 3, 2026May 11, 2026 3 Minutes

Databases Now Live In The Cloud

Enterprise databases migrating to public cloud platforms – examining the Gartner forecast that cloud becomes the default database destination

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?

flashdba Blog, Cloud, Databases Leave a comment September 22, 2020April 3, 2026 4 Minutes

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 Blog, Cloud, Databases, Storage 3 Comments September 18, 2020April 3, 2026 2 Minutes

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