Performance & Optimization
Concepts for understanding queues, latency, throughput, batching, and resource trade-offs without promises.
Performance is contextual
A metric belongs to a path, workload, device, and observation boundary. Latency for an API call, transfer, queue, or display frame are different measurements and should not be blended into one rating.
Queues and buffers trade resources
A queue can preserve ordering and keep a device supplied with work, while a buffer can absorb timing differences. Both consume memory and can change the time at which a result becomes visible.
Batching changes the shape of work
Combining operations can reduce repeated coordination across an interface, but it can also change waiting, cancellation, and completion semantics. The trade-off depends on the device contract and workload.
Optimization needs evidence
A descriptive reference can name the resource and metric involved. It should avoid claims such as fastest or guaranteed improvement without a defined method, scope, and comparison.
Reference facts
- Measurement rule
- Name the layer, workload, metric, units, and observation boundary.
- Common trade-off
- More buffering or batching can change memory use and waiting behavior.
Questions and answers
Is throughput the same as latency?
No. Throughput describes work over an interval; latency describes time for a defined operation or stage. A change can affect them differently.
Why avoid performance guarantees?
Device, workload, platform, and configuration change the observation. A broad promise would exceed the evidence a reference page can provide.