Practitioner perspectives on cloud, security, AI, and modernization — written by the people on the engagements, not a content team. New pieces drop as we ship.
Most enterprise AI programs don't fail at the model. They fail at the data, the operating model, or the change. Here's the diagnostic we run before scoping any engagement, and the five questions that tend to predict whether an AI investment will compound or quietly stall.
A working draft of what's coming. Want a preview? Email info@netgoinc.com.
A pragmatic sequence — identity, segmentation, telemetry, response — for organizations that need to ship measurable security gains in a quarter, not a roadmap.
Continuous authorization sounds great in policy memos and breaks down in real environments. The control inheritance, evidence pipelines, and team structures that make it stick.
The shape of your cloud spend tells you more about engineering discipline than any survey. A walk-through of the five line items we always pull first.
Demos win pilots; evals win production. What 'good' looks like for retrieval quality, offline evaluation, and runtime guardrails on enterprise LLM systems.
You don't need a 20-person platform org to get the benefits. A minimum-viable internal platform that two senior engineers can run and the org will actually adopt.
When 'modernize the legacy system' is the wrong answer. A decision framework for when to wrap, when to rebuild, and when to leave it alone for another budget cycle.
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