Terminology

2225 terms, tools, patterns and metrics an architect is expected to use precisely. Each one gets a short explanation of what it is, and — where it matters — what it is commonly confused with. Search filters as you type; the column headers sort.

All areas2225 Architecture Fundamentals77 Distributed Systems107 Data Architecture110 Cloud Architecture94 Networking88 API & Integration Architecture82 Reliability & Resilience75 Observability70 Performance & Capacity Engineering72 Security Architecture86 Cost Architecture & FinOps71 Business Architecture67 Architecture Communication67 Enterprise Architecture66 Legacy Modernization71 AI-Era Architecture74 Software Architecture & Engineering71 Architecture Patterns71 Architecture Decision-Making63 The Architect's Meta-Skills61 Delivery & Release Engineering66 Platform Engineering & Developer Experience70 Testing & Quality Architecture66 Data Platform Architecture69 Streaming & Real-Time Data69 Data Governance & Semantics74 Frontend & Experience Architecture66 Edge, Mobile & IoT68 Regulatory & Data Protection Architecture65 Assurance, Audit & Model Risk69

Kind Any concept801 practice736 pattern377 metric127 case-study77 tool62 protocol45

3 terms shown.

Term	Kind	Topic	What it is
AI Risk Tiering	practice	AI Risk Tiering	Classifying AI systems by potential harm so that governance effort is proportionate, rather than applying the same controls to every use.
Consequence-Based Tiering Proportionate Governance, Risk Tier by Impact	practice	AI Risk Tiering	Assigning governance requirements according to the consequence of a system being wrong and who bears it, rather than by technology - so that the strictest controls apply where they matter and low-risk uses rem…
Use Case Risk Classification	practice	AI Risk Tiering	Assigning an AI application to a risk tier based on the consequence of it being wrong, which then determines the obligations that apply.