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Terminology

2205 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 areas2205 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 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 concept794 practice734 pattern368 metric125 case-study77 tool62 protocol45

6 terms shown.

Term Kind Topic What it is
Multi-Leader Replication Multi-Master, Active-Active Replication pattern Replication Accepting writes at more than one node and replicating between them, which removes the single-primary bottleneck and introduces write conflicts.
Replica Lag Routing Read Routing, Primary Pinning practice Replication Deciding, per read, whether it may be served by an asynchronous replica - the operational discipline that makes read scaling safe.
Replication concept Replication Keeping copies of data on multiple machines for availability, read scaling and locality — and the lag that comes with all three.
Replication in Practice Read Replicas, Multi-Primary pattern Replication Copying data across nodes for availability and read capacity, and the lag that turns into user-visible bugs if session guarantees are not designed in.
Replication Lag metric Replication How far behind a replica is, measured in time or in log position — the quantity that determines how stale a replica read can be.
Synchronous vs Asynchronous Replication concept Replication Whether a write is acknowledged only after a replica has it, trading write latency against the amount of data a failure can lose.