Mastering API Governance: Microsoft's Blueprint for Success
summary
Microsoft Graph governance defines when to use an API via a decision tree (APIs for interactive access, not for high-volume extracts) and enforces product-style lifecycle rules: 3500 resource types, 2300 relationships, trillions of signals, and over 800 new APIs per year drive scale challenges. Governance uses Azure DevOps automation, a reusable pattern library and a TypeSpec-like design language to generate docs and SDKs, three review boards plus automated CI validate permissions and breaking-change policy, and a KPI-backed quality dashboard measures planning, design, security, performance and availability.
AI-written summary · about
chapters (9)
- 0:00Introduction
- 1:39Microsoft Graph Overview
- 5:35Entry Criteria Explained
- 11:53Defining Goodness Criteria
- 14:58API Governance Principles
- 17:54Automation Techniques
- 21:26Quality Dashboard Insights
- 24:03Lessons Learned Recap
- 25:22Final Summary and Appreciation
related talks
18mAPI Governance in the age of AI
26mContinuous API Governance Management
24mSelecting the best API Governance for your organization
24mLessons from the API Stewardship Journey in Azure
53mAzure API Management – A maturity model for successful adoption.
08mMicrosoft
50mAPI Government
40mAutomated Governance in Practice