Guides
Azure AI & cost, explained.
Engineer-written guides on building AI on Azure AI Foundry, choosing the right Azure OpenAI pricing model, and cutting cloud spend without hurting performance. Updated for 2026.
- Azure AI Foundry
- FinOps & cost control
- No fluff
- Updated for 2026
Read before you build.
What Azure AI Foundry is, how hubs and projects work, and how to take a generative-AI use case from pilot to production on Azure — a 2026 guide.
Provisioned throughput (PTU) or pay-as-you-go for Azure OpenAI? How the two pricing models compare and how to choose the cheaper one for your traffic.
Ten proven ways to cut Azure costs without hurting performance — right-sizing, reservations, orphaned resources, Hybrid Benefit, storage tiering and more.
How to cut Microsoft Sentinel costs without cutting detection: commitment tiers, the data lake tier, DCR filtering, E5 and Defender data grants, and retention done right.
How shift-left practices and CI/CD unlock developer autonomy: guardrails that travel with the code, golden paths, and delivery democratised across the whole team.
How North Peak Cloud engagements fit SAFe: what PI planning is, why fixed-scope work maps cleanly onto Program Increments, and how we slot into your ART's cadence.
How law firms can deploy AI on Azure without breaching client privilege: the isolation, monitoring exemption and cost model that keeps data inside your own tenant.
A four-level maturity model for governing AI agents on Azure — from ungoverned shadow agents to automated policy enforcement — and how to move up it.
AI agents inherit every inaccuracy in your identity directory, at machine speed. A practical checklist for auditing Entra ID before you deploy agents on Azure.