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Terminology

991 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 areas991 Architecture Fundamentals38 Distributed Systems73 Data Architecture71 Cloud Architecture55 Networking51 API & Integration Architecture45 Reliability & Resilience40 Observability33 Performance & Capacity Engineering34 Security Architecture50 Cost Architecture & FinOps30 Business Architecture28 Architecture Communication27 Enterprise Architecture27 Legacy Modernization27 AI-Era Architecture34 Software Architecture & Engineering37 Architecture Patterns34 Architecture Decision-Making30 The Architect's Meta-Skills27 Delivery & Release Engineering20 Platform Engineering & Developer Experience20 Testing & Quality Architecture20 Data Platform Architecture20 Streaming & Real-Time Data20 Data Governance & Semantics20 Frontend & Experience Architecture20 Edge, Mobile & IoT20 Regulatory & Data Protection Architecture20 Assurance, Audit & Model Risk20
Kind Any concept379 practice294 pattern166 metric55 tool36 protocol35 case-study26

6 terms shown.

Term Kind Topic What it is
Checkpoint Interval metric Stream Processing Frameworks How often a stateful processor persists its state and offsets, which trades steady-state overhead against how much work is redone after a failure.
Consumer Lag metric Streaming SLOs How far behind the newest record a consumer is, expressed in time rather than in message count, and its rate of change.
Feature Staleness metric Feature Freshness The age of the feature values a model scores against, and the divergence between how they are computed at training time and at inference time.
Keyed State Size metric Stateful Stream Processing The total state a job holds per key across all keys, which governs memory, checkpoint duration and recovery time.
Retention Cost metric Streaming Cost The storage bill for keeping a log replayable, which is set by retention multiplied by throughput multiplied by the replication factor.
Watermark Lag metric Watermarks & Late Data How far behind the newest event a watermark is held, which trades result latency against how much late data is included.