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.
Category: Cloud
The cloud is built on abstraction, standardisation, and scale. It works because most workloads can be made to look the same.
Databases are the exception. Their performance characteristics, failure modes, and architectural constraints are deeply tied to how they are built and deployed.
As AI increases the pressure on data systems, the tension between cloud uniformity and database specificity becomes more visible.
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.
Evolution of the DBA
From on-premises specialist to cloud DevOps generalist – the DBA role has absorbed every wave of infrastructure change. Cloud adds one genuinely new pressure: the monthly bill.
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?




