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

5 terms shown.

Term	Kind	Topic	What it is
Champion-Challenger Contamination Closed-Loop Evaluation Bias, Logged-Feedback Contamination	concept	Model Risk Management	The condition where a model's offline evaluation data was generated by the model it is being compared against, so the metric rewards imitation and improves while live outcomes stay flat.
Model Inventory AI Register, Model Registry, Deployed Model Catalogue	practice	Model Risk Management	A complete record of every model deployed in the organisation with its owner, purpose, risk tier and review date - the precondition for any AI governance, and the thing most organisations do not have.
Model Inventory Model Register, AI System Register	practice	Model Risk Management	A maintained register of every model making or informing decisions - the prerequisite without which no other model governance control can be applied.
Model Risk Management MRM, SR 11-7	practice	Model Risk Management	The discipline of governing the risk that a model is wrong, is used incorrectly, or is applied outside the conditions it was built for.
Validated Envelope Model Use Envelope, Validation Boundary	concept	Model Risk Management	The explicit conditions a model's validation actually covers - input schema, population, feature sources, thresholds, upstream versions - outside which the sign-off does not hold and the serving path must refu…