Terminology
2185 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 areas2185
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Assurance, Audit & Model Risk64
30 terms shown.
| Term | Kind | Topic | What it is |
|---|---|---|---|
| Access Pattern Skew Popularity Skew, Zipf Distribution | concept | Caching for Performance | The uneven distribution of requests across keys - which determines whether caching helps at all, and which synthetic load tests systematically fail to reproduce. |
| Amdahl's Law | concept | Profiling & Optimisation | The limit on speedup from optimising or parallelising part of a system, set by the proportion of work that remains unchanged. |
| Bottleneck | concept | Bottleneck Analysis | The single resource that limits system throughput, such that improving anything else produces no gain. |
| Cache Hit Ratio Economics | concept | Caching for Performance | The non-linear relationship between cache hit rate and backend load, which determines whether a cache improvement is worth making. |
| Cache Stampede Thundering Herd, Dog-Piling | concept | Caching for Performance | The surge of identical expensive requests to the origin when a popular cache entry expires and many concurrent callers all miss at once. |
| Capacity Lead Time Provisioning Lead Time | concept | Capacity Modelling | The delay between deciding capacity is needed and having it available, which determines whether a capacity model can forecast at all or must instead buy optionality. |
| Collective Communication Cost Allreduce Overhead, Synchronisation Cost at Scale | concept | Throughput | The synchronisation term that determines how far a distributed training or inference job can scale, made of a bandwidth component that is nearly flat in participant count and a latency component that is not. |
| Concurrency | concept | Concurrency | How many operations are in flight at once — the quantity that actually saturates a system, and the one most worth limiting explicitly. |
| Connection Pool | concept | Performance & Capacity | A fixed set of reusable database connections shared by an application's requests, and one of the most common hidden capacity ceilings. |
| Coordinated Omission Closed-Loop Measurement Bias, Omitted Latency Samples | concept | Load Testing | The measurement error in which a load generator stops issuing requests while the system under test is stalled, so the slow samples that a real arrival process would have produced are never recorded. |
| Deadline-Derived Queue Depth Deadline-Bounded Queue | concept | Concurrency | The rule that a request queue's maximum depth comes from the client's deadline and the service's completion rate, so the queue can never hold work that will expire before it is served. |
| Efficient Concurrency Point Optimal Pool Size, Contention Threshold | concept | Connection Pooling | The concurrency level beyond which adding parallel work reduces total throughput, because contention costs more than the parallelism gains - and the reason a larger connection pool often makes latency worse. |
| Ephemeral Port Exhaustion Source Port Starvation, TIME_WAIT Exhaustion | concept | Network Performance Tuning | The failure in which a host runs out of source ports for new connections to one destination, producing connection errors that look like the remote being down while the remote is healthy. |
| Fan-Out Latency Amplification | concept | Tail Latency | The effect by which a request that depends on many parallel sub-requests is governed by the slowest of them, so rare slowness becomes common at the user level. |
| Horizontal vs Vertical Scaling Scale Out vs Scale Up | concept | Performance & Capacity | Adding more machines versus making one machine bigger — and the fact that vertical is underrated for stateful tiers. |
| Index Write Amplification Index Maintenance Cost, Secondary Index Overhead | concept | Database Performance | The multiplication of write work caused by secondary indexes, where every insert and every update to an indexed column must also maintain each index tree inside the same transaction. |
| Little's Law | concept | Performance & Capacity | In a stable system, the average number of items in it equals the arrival rate times the average time each spends in it — L = λW. |
| Parallelism and Concurrency | concept | Concurrency | The distinction between structuring work so it can make progress independently and actually executing work simultaneously on multiple cores. |
| Payload Compression Trade-off | concept | Network Performance Tuning | The exchange of CPU time for reduced transfer time, which is favourable on constrained networks and harmful on fast local ones. |
| Query Plan Regression | concept | Database Performance | A sudden latency increase caused by the database optimiser choosing a different execution plan for an unchanged query, typically after statistics or data volume change. |
| Queueing Delay | concept | Queueing Theory | The time a request spends waiting rather than being served, which rises non-linearly as utilisation approaches capacity. |
| Saturation Point | concept | Throughput | The load level beyond which additional demand produces queueing and latency growth rather than additional completed work. |
| Scale Cube | concept | Horizontal vs Vertical Scaling | A model describing three independent axes of scaling — cloning, functional decomposition, and data partitioning — each addressing a different limit. |
| Tail Composition Effect Fan-Out Tail Amplification, Page-Level Tail | concept | Tail Latency | The multiplication that turns a small per-request slow rate into a large user-visible slow rate, because a single user action makes many requests and is only as fast as its slowest one. |
| Tail Latency Amplification Fan-out Tail, Slowest-Component Latency | concept | Tail Latency | A parallel fan-out completes when its slowest component does, so ordinary per-component tails combine into a much worse end-to-end tail. |
| Tail Latency Amplification | concept | Tail Latency | The effect where a request that fans out to many services experiences the worst case of all of them, making rare slowness common at the user level. |
| Universal Scalability Law USL, Gunther's Law | concept | Horizontal vs Vertical Scaling | A model showing that throughput rises with concurrency, flattens due to contention, and then falls due to coherency costs. |
| Utilisation and Queueing Delay | concept | Queueing Theory | The non-linear relationship by which waiting time grows as utilisation approaches one, explaining why systems degrade suddenly rather than gradually. |
| Working Set Hot Data Set | concept | Caching for Performance | The subset of data actually touched in a given window, whose size against the cache's capacity determines the hit rate and therefore how much load reaches the origin. |
| Write Contention Row Contention, Hot Row | concept | Performance & Capacity | Many concurrent writers competing for the same item of state, which serialises through one lock and cannot be relieved by adding capacity. |
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