Meaning
Calculates the average response time by summing individual response times and dividing by the number of observations. It provides a single scalar summarizing latency across multiple requests or transactions.
Primary Function
Performance metrics
Communicative Purpose
Provides a summary measure of latency for monitoring, reporting, and service-level agreement evaluation.
Pattern
mean = sum(values) / len(values)
Core Structure
mean = sum(...) / len(...)
Função primária
Performance metrics
Propósito comunicativo
Provides a summary measure of latency for monitoring, reporting, and service-level agreement evaluation.
Situações de gatilho
When evaluating API latency after a batch of requests, during load testing to assess system responsiveness, and when reporting key performance indicators to stakeholders.
Contextos
Web services, microservices, API gateways, load testing tools, performance monitoring dashboards.
Padrão
mean = sum(values) / len(values)
Estrutura central
mean = sum(...) / len(...)
Slots de substituição
values: list of numeric response times (e.g., floats or ints); mean: resulting average response time
Colocados típicos
- response_times list
- latency metrics
- throughput calculation
- percentile analysis
Substituições comuns
- statistics.mean(values) in Python
- numpy.mean(array)
- reduce/sum in JavaScript
- AVG() aggregate in SQL
Erros comuns
Dividing by zero when the list is empty; using integer division in languages that truncate (e.g., C, Java) leading to inaccurate results; neglecting to convert units consistently
Similar / contraste
Median response time – robust to outliers; Percentile response time (e.g., p95) – captures tail latency; Weighted average – accounts for varying request importance
Interferências
Coming from languages with integer division (e.g., C, Java): ensure floating-point division; Coming from SQL: use AVG() aggregate function instead of manual sum/count
Família do chunk
- mean
- median
- percentile
- moving average
- variance
Nuance
Assumes equal weighting of all observations; can be skewed by outliers; for skewed distributions consider median or percentiles; ensure consistent time units (e.g., milliseconds) across samples
Efeito pragmático
Delivers a quick, interpretable summary of system latency useful for alerts, dashboards, and SLA compliance tracking.
Dica de memória
Average = Sum divided by Count
Nota
Watch out for integer division in languages that default to integer arithmetic, which can truncate the result.
Upgrade path
Use weighted average or exponential moving average for time‑series smoothing.
Log in to save chunks.