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Terminology

2185 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 areas2185 Architecture Fundamentals77 Distributed Systems107 Data Architecture110 Cloud Architecture89 Networking88 API & Integration Architecture82 Reliability & Resilience75 Observability70 Performance & Capacity Engineering72 Security Architecture81 Cost Architecture & FinOps66 Business Architecture67 Architecture Communication67 Enterprise Architecture66 Legacy Modernization66 AI-Era Architecture69 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 Architecture64 Streaming & Real-Time Data69 Data Governance & Semantics69 Frontend & Experience Architecture66 Edge, Mobile & IoT68 Regulatory & Data Protection Architecture65 Assurance, Audit & Model Risk64
Kind Any concept785 practice729 pattern362 metric125 case-study77 tool62 protocol45

5 terms shown.

Term Kind Topic What it is
CDC Initial Snapshot concept Change Data Capture The consistent full copy taken when a CDC pipeline starts, before streaming begins — and the step that determines whether the target is correct.
Change Data Capture in Practice CDC pattern Change Data Capture Turning a database's replication log into an event stream, so downstream systems learn about changes without the application publishing them.
LinkedIn Databus: Change Capture as a Product Databus case-study Change Data Capture LinkedIn built a change capture system so that derived stores — search, graph, caches — could stay current without every application dual-writing to them.
Log-Based CDC pattern Change Data Capture Capturing changes by reading the database's own write-ahead log, which sees every change with no load on the source and no application involvement.
Query-Based CDC Polling CDC, Timestamp-Based CDC pattern Change Data Capture Detecting changes by repeatedly querying for rows modified since the last run — simple, universally available, and lossy in specific ways.