Engineering Blog
Architectural decisions, patterns, and lessons learned from shipping enterprise software.
A decision-first, tradeoffs-honest guide for engineering and platform leads: when to self-host private LLM inference, when an EU-region API is enough, and when US-hosted is fine — scored by data sensitivity, the AI Act, DORA and GDPR, latency, and real GPU cost — plus the reference stack and the one design decision that keeps every option open.
A practitioner's build-checklist for bringing an AI system under DORA: each of the five pillars read as an engineering task — what to write down and what evidence to produce, from the Register of Information to concentration risk and the sovereign inference path that reduces it.
Why ServiceNow CMDBs decay over time, and the CSDM, IRE, and governance foundations that keep them accurate.
A decision framework for choosing between an EU-resident AI stack and a US frontier LLM, weighing data residency, GDPR, and the AI Act.
A practitioner's checklist for shipping AI in the EU: risk tiers, GPAI duties, logging, human oversight, and the GDPR overlap.
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