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
Differential Privacy Budget	concept	Privacy-Enhancing Technologies	The cumulative privacy loss permitted across all queries against a dataset, which must be tracked and exhausted rather than applied per query.
Privacy Enhancing Technology PETs	concept	Privacy-Enhancing Technologies	Techniques that allow useful computation over data without exposing the underlying records — differential privacy, secure multi-party computation, homomorphic encryption, federated learning.
Privacy Loss Accounting Budget Composition Tracking, Epsilon Accounting	practice	Privacy-Enhancing Technologies	Tracking cumulative privacy loss across every statistic released from a dataset, because differential privacy's guarantee holds over the whole publication rather than per query - and once the budget is spent, …
Private Set Intersection PSI, Private Join and Compute	protocol	Privacy-Enhancing Technologies	A cryptographic protocol that lets two parties learn the size of - or an aggregate over - the overlap between their datasets without either learning the other's non-matching members.
Secure Aggregation Private Aggregation, Cohort-Level Aggregation	protocol	Privacy-Enhancing Technologies	A cryptographic protocol that lets a server learn only the sum of many clients' model updates and never any single client's update, which is what makes an on-device training claim survive scrutiny.