Notes on data, AI, IT
and security
No marketing fog. The way I think about real problems with founders and managers.
When an internal API gateway actually helps
API gateways are standard at the public perimeter. The question of whether to put one between your own internal services is less obvious and worth thinking through.
Narrow AI in production: where the line between pilot and working system is
Why most AI pilots never reach production, and what it actually takes for a model to work in real conditions rather than just in a demo.
GDPR: lessons from the first months of enforcement
What the first weeks of real GDPR enforcement revealed, and how it changes the practical approach to handling personal data.
When to split a monolith into microservices - and when not to
A practical look at the moment when architectural decomposition is justified, and when it creates more problems than it solves.
Data warehouse or data lake: how to make the right call
A breakdown of two architectural approaches to corporate data storage and the criteria that actually matter for mid-size companies.
Five years of big data: what survived and what did not
A retrospective look at the big data wave: which promises were realised, which turned out to be hype, and what from that period is still worth applying today.
Cobots in mid-size manufacturing: economics and realistic expectations
What a manufacturing company executive should know before considering collaborative robots as an automation tool.
GDPR: personal data becomes an architecture problem
What GDPR changes in how companies must design their systems, not just what policies to write.
Cloud cost management: from IT expense to managed budget
Why cloud costs get out of control, and what it takes to turn them from an unpredictable line item into a managed operational expense.
A single source of truth for operational reporting
Why most companies lack a single authoritative number, and what it takes to create one - without a large IT project.
Cambridge Analytica: a data governance lesson beyond platforms
What the Facebook and Cambridge Analytica story means for ordinary companies - not platforms, but those that use data about people in their daily work.
Kubernetes: when it helps and when it adds complexity
A practical look at container orchestration - for which companies Kubernetes solves real problems and when it creates more issues than it resolves.