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
Category: Cloud
The cloud is built on standardisation, abstraction, and scale. It works because most workloads can be made to look the same.
Databases are the exception. Their performance, behaviour, and constraints are deeply tied to their underlying architecture – and those differences don’t disappear just because the infrastructure moved.
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.
The Biggest Gap In The Clouds? High Performance RDBMS
Hyperscalers have solved cloud infrastructure for most workloads. High-performance RDBMS remains the exception – the gap between cloud promises and database reality is still real.
Cloud Compromises: Constrained and Optimized CPUs
Not all cloud vCPUs are equal. This article explains how constrained and optimised CPU configurations affect enterprise database performance in ways the spec sheet doesn’t reveal.
Overprovisioning: The Curse Of The Cloud
On-premises databases were overprovisioned for performance. Cloud databases are overprovisioned for a different reason: unpredictable pricing. This article explains the real cost.
Choosing The Right Path To The Cloud
Not all database migrations are equal. This article explains the main paths to public cloud and why choosing the wrong one for mission-critical workloads is an expensive mistake.
The Battle For Your Databases
AWS, Azure and GCP are competing hard for enterprise databases. This article explains why mission-critical RDBMS workloads are the prize and what that means for DBAs.
The Public Cloud: The Hotel For Your Applications
The public cloud is like a hotel – flexible and convenient but shared infrastructure. This article explains what that model really means for enterprise databases.
Cloud DBA: The Next Generation of Database Administrator?
Cloud databases come with cost levers on-premises never had. This article examines what the Cloud DBA role actually looks like and why cost is now a core DBA concern.
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