Terminology
2225 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 areas2225
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 Architecture74
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 Architecture69
Streaming & Real-Time Data69
Data Governance & Semantics74
Frontend & Experience Architecture66
Edge, Mobile & IoT68
Regulatory & Data Protection Architecture65
Assurance, Audit & Model Risk69
30 terms shown.
| Term | Kind | Topic | What it is |
|---|---|---|---|
| Attestation Freshness Nonce-Bound Quote, Replay-Resistant Attestation | concept | Edge Security & Attestation | The property that a hardware attestation can only be used in the exchange that requested it - without which a captured measurement is a reusable bearer token for the whole fleet. |
| Background Work on Mobile | concept | Push & Background Work | Work scheduled outside the foreground session, which mobile operating systems aggressively restrict to protect battery life. |
| Best Effort Delivery | concept | Push & Background Work | The guarantee push notification services actually offer — which is none — and the design consequences of building on a channel that may silently drop. |
| Clock Drift | concept | Physical-World Failure Modes | Device clocks diverging from real time, which corrupts ordering, expires certificates early or late, and produces data that appears to arrive from the past. |
| Cold Start at the Edge | concept | Edge Functions | The initialisation delay when a request reaches a location with no warm instance, which at the edge occurs far more often because traffic is spread across many locations. |
| Compute Tier Placement | concept | Edge Compute Topologies | Deciding which of on-device, on-premises, metro, regional or central compute a workload belongs to, from its latency, data volume and autonomy requirements. |
| Convergence Without Coordination | concept | CRDTs | The property that replicas applying the same set of updates in any order reach the same state, which is what removes the need for a central arbiter. |
| CRDT Conflict-Free Replicated Data Type | concept | CRDTs | A data structure whose concurrent updates always merge to the same result regardless of order, removing the need for coordination or conflict resolution. |
| Device Identity | concept | Device Identity | Establishing and maintaining a trustworthy identity for each device in a fleet — including the parts that must work for a decade without physical access. |
| Device Telemetry at Scale | concept | Device Telemetry at Scale | The volume problem created by many devices each emitting small frequent messages, where the answer is filtering at the edge rather than ingesting everything. |
| Device-Side Refusal Local Precondition Check, The Device Decides | concept | OTA Updates | The rule that a device must refuse an unsafe instruction regardless of what the server commanded, because the server does not know the device's physical state. |
| Edge Compute Topology | concept | Edge Compute Topologies | The choice of where computation sits along the path from device to region, trading latency and autonomy against manageability and consistency. |
| Edge Data Consistency | concept | Edge Data Consistency | The consistency model available when data is replicated to many edge locations, where strong consistency would eliminate the latency benefit that motivated the edge. |
| Edge Security and Attestation | concept | Edge Security & Attestation | Establishing that a device is running expected software and has not been tampered with — the trust foundation when you do not control the physical environment. |
| Edge, Mobile and IoT | concept | Edge, Mobile & IoT | Architectures where compute sits on devices or near users — sharing the constraints of intermittent connectivity, limited resources and clients you cannot upgrade. |
| Fleet Reconnection Storm Device Thundering Herd, Synchronised Reconnect, IoT Recovery Surge | concept | Device Telemetry at Scale | A synchronised burst of devices re-establishing connections after any disruption, which is far more expensive than steady-state traffic and routinely turns a brief platform blip into a prolonged outage. |
| Hardware Backed Credential | concept | Device Identity | A private key generated inside a secure element and unable to leave it, so device identity cannot be copied off the device. |
| Ingest Fan-In | concept | IoT Ingest Architecture | The shape of a system receiving many small messages from very many senders, where connection count rather than data volume is the primary constraint. |
| Invalid-Clock Boot Epoch Boot, Clock-Zero Boot, Time-Before-Trust Problem | concept | Physical-World Failure Modes | A device booting with no trustworthy notion of time, which makes certificate validity unverifiable and creates a dependency loop - correct time needs a trusted connection and a trusted connection needs correct time. |
| Message Overhead Budget | concept | Constrained Protocols | The proportion of each transmission spent on protocol rather than payload, which on a metered or battery-powered link determines the running cost. |
| Mobile App Architecture | concept | Mobile App Architecture | Client architecture where the release cycle is not yours, old versions persist indefinitely, and the network is unreliable. |
| Physical World Failure Mode | concept | Physical-World Failure Modes | The failure classes that only exist once software controls or observes physical equipment, where the system cannot be restarted and the consequences are not confined to data. |
| Platform Lifecycle Constraint | concept | Mobile App Architecture | The operating system's rules about when your process runs, which are not negotiable and invalidate most assumptions carried over from server code. |
| Push Token Decay Stale Registration Token, Push Target Rot | concept | Push & Background Work | The steady accumulation of push targets that no longer reach a device - which inflates fan-out cost and makes delivery metrics describe a list rather than an audience. |
| Resync Horizon Tombstone Retention Window, Full Resync Threshold | concept | Sync & Conflict Resolution | The age of the oldest change a server can still describe as a delta - beyond which a returning client must take a full snapshot or it will silently keep records that were deleted. |
| Sync Conflict Resolution | concept | Sync & Conflict Resolution | The policy applied when the same record was changed on two devices while they were disconnected, and both changes now arrive. |
| Tombstone Accumulation Metadata Growth, CRDT Garbage Problem | concept | CRDTs | The unbounded growth of deletion markers and causal metadata that a coordination-free replica must retain so a peer it has not yet seen cannot resurrect removed data. |
| Unreachable Node | concept | Edge, Mobile & IoT | A component you cannot log into, restart or inspect, which removes every operational technique that assumes access to the running system. |
| Untrusted Client Timestamp Device Time Is Not Authoritative, Client Clock Assumption | concept | Mobile App Architecture | The recognition that a timestamp set by a device is user-editable input rather than a fact - so reporting periods, ordering and de-duplication must not depend on it. |
| Update Long Tail Version Distribution Tail, Fleet Stratification | concept | OTA Updates | The persistent stratum of devices running old firmware because they were offline during rollouts - which grows across releases and is measured by version distribution rather than by rollout percentage. |
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