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

5 terms shown.

Term	Kind	Topic	What it is
Pre-Scaling Scheduled Scaling, Predictive Scaling	practice	Autoscaling	Provisioning capacity before demand arrives, based on a forecast or a known event, because autoscaling cannot respond faster than its provisioning loop.
Scheduled Capacity Predictive Provisioning, Calendar-Driven Scaling	practice	Autoscaling	Provisioning ahead of a known event rather than reacting to its traffic - the correct primary control for any spike whose rise time is shorter than an autoscaler's reaction time.
Slack 2021: When Autoscaling Cannot Keep Up Slack January 2021 Outage	case-study	Autoscaling	The first Monday back after the holidays produced a traffic ramp that outpaced the scaling behaviour of a managed network component, and the degradation cascaded.
Target Tracking Scaling	pattern	Autoscaling	An autoscaling policy that adds or removes capacity to hold a chosen metric near a target value, like a thermostat, rather than reacting to threshold breaches.
Warm Pool	pattern	Autoscaling	Pre-initialised instances held in a stopped or standby state so that scaling out skips boot and application warm-up.