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
734 terms shown.
| Term | Kind | Topic | What it is |
|---|---|---|---|
| Knowledge Deprecation Deliberate Unlearning, Skill Retirement | practice | Continuous Learning | Deliberately retiring expertise that has stopped predicting behaviour, keeping the invariants it taught and dropping the product surface, so a fixed learning budget is not consumed by maintaining currency nobo… |
| KPI Attribution Chain Benefit Attribution Chain, Metric Causal Chain | practice | Business KPIs | The explicit path from an architecture change through an operational metric and a short-lag product metric to the business measure finance reports - with the lag and the counterfactual named - so the benefit c… |
| Label Inheritance Classification Propagation, Sensitivity Inheritance | practice | Sensitivity Labelling | Automatically assigning a derived dataset the highest sensitivity of its inputs, so that aggregates and transformations do not silently escape the controls that applied to their sources. |
| Last Responsible Moment | practice | Evolutionary Architecture | Defer an irreversible decision until the cost of deferring exceeds the cost of deciding - and define in advance the signal that says the moment has arrived. |
| Late-Data Policy Lateness Handling, Allowed Lateness | practice | Watermarks & Late Data | The explicit decision about what happens to an event that arrives after its window has closed - drop it, route it aside, or update the emitted result. |
| Latency Budget Decomposition | practice | Latency | Allocating a total response-time target across the components of a request path, so each layer has an explicit share and overruns are attributable. |
| Layer Enforcement Ratchet Violation Baseline, Architecture Debt Ratchet, Boundary Gate with Baseline | practice | Layered Architecture | Gating a layering rule on a recorded baseline of existing violations that may shrink but never grow, so an architectural boundary becomes mechanical on a legacy codebase without a cleanup project first. |
| Layout Space Reservation Shift Prevention, Dimension Reservation | practice | Core Web Vitals | Allocating space for content before it arrives, so that late-loading elements fill a gap rather than displacing what the user is already reading. |
| Least-Privilege Tooling Bounded Tool Permissions | practice | Prompt Injection Defence | Giving each tool the narrowest possible capability and enforcing authorisation at the tool - the decisive control when a model's instructions can be influenced by untrusted content. |
| Legacy Assessment | practice | Legacy Assessment | Establishing what a legacy system actually does, what depends on it, and what it costs, before deciding what to do with it. |
| Legacy Headroom Budget Legacy Capacity Allocation, Integration Throughput Quota | practice | Legacy Integration Patterns | The measured spare throughput of a legacy system after retry amplification, batch overlap and organic growth are deducted, allocated to new consumers as enforced quotas rather than published as available capacity. |
| Legacy Integration | practice | Legacy Integration | Connecting modern services to systems that cannot be changed — where the constraints are as much commercial and operational as technical. |
| Legacy Side-Effect Inventory Trigger Inventory, Write Consequence Map | practice | Strangler Fig | The enumerated list of triggers, stored procedures, scheduled jobs and integrations that fire as a consequence of a legacy write, which determines whether a capability can be moved incrementally at all. |
| Legacy System Assessment | practice | Legacy Assessment | A structured evaluation of a system's business value, technical condition and risk, used to decide what to do with it rather than to describe it. |
| Legal Hold | practice | Records Retention & Legal Hold | Suspending deletion for specific records because of anticipated litigation or investigation, which must override the retention schedule and be provable. |
| Little's Law Applied to Pools | practice | Connection Pooling | Using L = λW to size connection and thread pools from measured throughput and latency rather than from a default. |
| LLM Evaluation Evals | practice | AI-Era Architecture | A repeatable measurement of whether an AI system's outputs are good enough, on cases that reflect the actual task. |
| LLM-as-Judge | practice | LLM Evaluation | Using a language model to score another model's outputs against criteria, making evaluation scalable at the cost of introducing the judge's own biases. |
| Load Balancer Pre-Warming LCU Reservation, Balancer Warm-Up | practice | Load Balancing | Reserving or requesting minimum load-balancer capacity before a scheduled step change in traffic - because a managed balancer is itself an autoscaled fleet whose provisioning loop is slower than a product laun… |
| Load Testing | practice | Performance & Capacity | Driving a system with realistic traffic at a target volume to verify it meets its performance targets before real users do. |
| Load Testing in Practice | practice | Load Testing | Verifying behaviour under expected load — where realism of workload and data matters more than the number of virtual users. |
| Load-Coupled Fault Injection Fault Injection Under Load, Contention Testing | practice | Chaos Engineering | Injecting dependency faults while the system is at realistic peak load, because timeouts, pool sizes and breaker thresholds only reveal whether they are correct under contention. |
| Locale Aware Formatting | practice | Internationalisation | Rendering dates, numbers, currencies and names according to the user's locale rather than the developer's, using the platform rather than hand-written logic. |
| Log Level Discipline | practice | Logging | Consistent semantics for log severity so that levels can be used for routing, alerting and cost control. |
| Log Management | practice | Log Management | The pipeline, storage, retention and access model for logs — where cost and compliance meet operational need. |
| Log Retention Tiering | practice | Log Management | Storing log data at different resolutions, costs and access latencies according to how old it is and how likely it is to be queried. |
| Log Sampling Budget Log Volume Budget, Log Ingest Quota | practice | Logging | An owned per-service allowance of log volume, spent by deciding which record classes are kept whole and which are sampled by trace - the control that turns an invisible shared cost into a decision a team makes… |
| Log Schema Consistency | practice | Structured Logging | Enforcing the same field names, types and semantics for structured log records across every service, so cross-service queries are possible. |
| Logging | practice | Logging | Emitting events a human or a query can reason about later — where the discipline is structure, sampling and what you refuse to log. |
| Logical Date Partitioning Execution Date, Idempotent Reprocessing | practice | Batch Orchestration | Making every batch task a pure function of a logical date, so that any run can be repeated safely and a backfill is a range of independent executions. |
| Machine-Checkable Standard Executable Standard, Automated Conformance Rule | practice | Architecture Governance | An architecture rule written so that a program can decide whether a change complies, enforced at merge or deploy time, which is the only form of governance whose capacity scales with the rate of change. |
| Mainframe Modernisation | practice | Mainframe Modernization | Replacing or reducing dependence on a core system that is reliable, undocumented, and central to the business. |
| Managed versus Self-Managed | practice | Managed vs Self-Managed | Whether to run a component yourself — a decision that should default to managed and require a specific articulated reason to deviate. |
| Manual Fallback Capacity Degraded-Mode Throughput, Paper-Process Capacity | practice | Business Continuity | The transactions per hour a business can actually complete without its system - the measured number that says whether a recovery-time objective is survivable and how long the catch-up takes. |
| Master Data Management MDM, Golden Record | practice | Master Data Management | Establishing a single authoritative version of core business entities that appear inconsistently across many systems. |
| Material Outsourcing Notification | practice | Sector Cloud Rules | The regulatory obligation to inform a supervisor before placing a critical function with a third party, which puts cloud adoption on a timeline architecture must respect. |
| Materialised Read Model Projection, Read Model | practice | CQRS | A precomputed, query-shaped copy of data maintained asynchronously from the system of record - and the operational obligations that come with it. |
| Mentoring | practice | Mentoring | Developing other people's architectural judgement — the highest-leverage activity available to a senior architect. |
| Mentoring Ladder | practice | Mentoring | Adjusting the level of direction given to someone according to their experience with the specific task, from demonstration through to sponsorship. |
| Merge Queue Merge Train, Serialised Integration | practice | Continuous Integration Discipline | Testing each change against the combination that will actually exist after merge, rather than against the base it was written on - preventing the broken trunk that concurrent merges produce. |
| Metadata Harvesting | practice | Data Catalog | Populating a catalogue automatically from the systems that hold the data, because anything requiring manual entry will be incomplete within a quarter. |
| Metric Certification Certified Metrics, Trusted Tier | practice | BI Governance | Marking a small set of metrics and datasets as governed and authoritative, so that exploration stays free while anything asserted about the business comes from a controlled definition. |
| Migration Risk | practice | Migration Risk | The specific risks migrations carry, and the controls that reduce each — with reversibility as the master control. |
| Migration Risk Register | practice | Migration Risk | A maintained record of what could go wrong in a migration, with likelihood, impact, owner and mitigation, reviewed as the programme progresses. |
| Migration Wave | practice | Cloud Migration | A batch of applications migrated together, sequenced so that dependencies move in a workable order and each wave delivers learning for the next. |
| Mobile Release Strategy | practice | Mobile Release Strategy | Shipping to an app store where review adds latency, users choose when to update, and old versions therefore stay live indefinitely. |
| Model Drift Monitoring | practice | AI Observability | Detecting that a deployed model's inputs or performance have shifted away from the conditions it was validated under. |
| Model Graph Pruning Removing Unused Models, DAG Hygiene | practice | Transformation Frameworks | Periodically removing transformation models with no downstream consumers - the cheapest available reduction in a build's cost and duration, and the one nobody owns. |
| Model Inventory AI Register, Model Registry, Deployed Model Catalogue | practice | Model Risk Management | A complete record of every model deployed in the organisation with its owner, purpose, risk tier and review date - the precondition for any AI governance, and the thing most organisations do not have. |
| Model Inventory Model Register, AI System Register | practice | Model Risk Management | A maintained register of every model making or informing decisions - the prerequisite without which no other model governance control can be applied. |
| Model Risk Management MRM, SR 11-7 | practice | Model Risk Management | The discipline of governing the risk that a model is wrong, is used incorrectly, or is applied outside the conditions it was built for. |
| Modernisation Business Case | practice | Modernisation Business Case | Justifying modernisation work, where the benefits are diffuse, the costs are concrete, and "it is old" persuades nobody. |
| Modernisation Value Case | practice | Modernisation Business Case | The argument that funds a modernisation programme, built on quantified business consequence rather than on technical obsolescence. |
| Module Dependency Enforcement | practice | Modular Monolith | Automated checks that prevent one module from importing another's internals, giving a monolith the boundary discipline of separate services. |
| Move Group Migration Affinity Group, Move Wave Affinity Set | practice | Rehosting | The set of workloads that must cross to the new infrastructure in the same wave because the round trips between them sit on a user-facing critical path, derived from observed network flows rather than from the… |
| Multi-Factor Authentication MFA, 2FA | practice | Authentication | Requiring evidence from more than one category — something you know, have, or are — so a single stolen credential is insufficient. |
| Multi-Window Multi-Burn-Rate Alerting | practice | SLO Monitoring | Alerting on how fast an error budget is being consumed, over two time windows simultaneously, to get both fast detection and few false alarms. |
| Mutation Scope Selection Incremental Mutation Analysis, Diff-Scoped Mutation Testing | practice | Mutation Testing | Restricting mutation analysis to the lines a change touches and to code whose failure is expensive, so a technique that costs one to two orders of magnitude more than the test suite still fits inside a pull-re… |
| Narrative Arc | practice | Presentation Skills | Structuring a technical presentation as a problem, tension and resolution rather than as an ordered dump of findings. |
| Negotiation | practice | Negotiation | Reaching decisions with people whose objectives differ — by working from interests rather than positions, and by making trades explicit. |
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