No hype. No vendor talking points. Honest analysis from 18 years of building platforms that engineering organisations actually run on.
Most organisations confuse owning Kubernetes with owning a platform. Here's what's missing — and why the gap shows up on engineering throughput, hiring cost, and time-to-market as the team grows.
Read article →Running a language model in production is not a Python script problem — it's a platform problem with cost, security, and accountability implications. The infrastructure checklist your engineering org needs before the first LLM goes live.
Read article →DORA metrics tell you how fast and reliably your engineering organisation ships. Your platform either accelerates or limits every one of them. How to use DORA as a platform investment lever — and a credible business case.
Read article →GDPR and AI ambition don't have to conflict. A practical, board-defensible approach to self-hosted LLMs — inference stays in your cluster, in your region, under your control, with a cost model your CFO can read.
Read article →Publishing regularly on Platform Engineering, LLMOps, Backstage, GitOps, and AI infrastructure for regulated industries.
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