Terminology
342 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 areas342
Architecture Fundamentals16
Distributed Systems73
Data Architecture29
Cloud Architecture17
Networking13
API & Integration Architecture17
Reliability & Resilience16
Observability14
Performance & Capacity Engineering13
Security Architecture18
Cost Architecture & FinOps12
Business Architecture9
Architecture Communication8
Enterprise Architecture8
Legacy Modernization11
AI-Era Architecture15
Software Architecture & Engineering19
Architecture Patterns15
Architecture Decision-Making11
The Architect's Meta-Skills8
14 terms shown.
| Term | Kind | Topic | What it is |
|---|---|---|---|
| Alert Fatigue | concept | Observability | The desensitisation that follows from alerts that are frequent, non-actionable, or not tied to user impact — after which real alerts are missed too. |
| Application Performance Monitoring APM | tool | Observability | Instrumentation inside the application that attributes latency and errors to specific code paths, queries and dependencies. |
| Burn Rate Alerting | practice | SLO Monitoring | Paging when the error budget is being consumed fast enough to matter, rather than when a component crosses a threshold. |
| Cardinality | concept | Observability | The number of distinct time series produced by a metric, which is the product of the distinct values of all its labels — and the main driver of monitoring cost. |
| Correlation ID | practice | Observability | A single identifier attached to one logical operation and included in every log line it produces, anywhere in the system. |
| Distributed Tracing | tool | Observability | Following one logical request across every service it touches by propagating a shared trace identifier and recording timed spans. |
| Golden Signals | metric | Observability | The four measurements that cover most of what matters for a request-driven service: latency, traffic, errors and saturation. |
| Health Check | practice | Observability | An endpoint the platform polls to decide whether an instance should be restarted or should receive traffic — two different questions needing two different checks. |
| Observability | concept | Observability | The property of being able to answer new questions about a system's internal state from its external outputs, without shipping new code. |
| RED Method | practice | Observability | A minimal per-service dashboard: Rate, Errors, Duration — the request-centric view of whether users are being served. |
| Runbook Playbook | practice | Observability | A short, actionable document telling an on-call engineer what an alert means, what to check, and what the safe mitigations are. |
| Structured Logging | practice | Observability | Emitting log entries as machine-parseable key-value records rather than as formatted prose. |
| Telemetry Sampling | practice | Observability | Keeping a subset of traces or events to bound observability cost, chosen so the ones that matter survive. |
| USE Method | practice | Observability | For every resource, track Utilisation, Saturation and Errors — the resource-centric complement to request-centric monitoring. |
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