gauge metric
Observability

Meaning

A gauge metric represents a value that can arbitrarily go up and down, used to measure instantaneous values like temperature, memory usage, or queue length. It is typically updated with a set operation or increment/decrement.

Primary Function

Observability / Metrics collection

Communicative Purpose

To expose a mutable measurement that reflects current state rather than cumulative count.

Pattern

gauge.set(value)

Core Structure

gauge.set(...)

Função primária

Observability / Metrics collection

Propósito comunicativo

To expose a mutable measurement that reflects current state rather than cumulative count.

Situações de gatilho

Monitoring CPU utilization, tracking current number of active connections, measuring memory consumption.

Contextos

Prometheus client libraries, OpenTelemetry, StatsD, custom monitoring systems.

Padrão

gauge.set(value)

Estrutura central

gauge.set(...)

Slots de substituição

gauge: metric object (e.g., Prometheus Gauge), value: numeric (int or float)

Colocados típicos

  • counter metric
  • histogram metric
  • labels
  • scrape endpoint

Substituições comuns

  • gauge.inc()
  • gauge.dec()
  • gauge.add(delta)

Erros comuns

Treating gauge as a counter (only incrementing) or forgetting to update leading to stale values

Similar / contraste

Counter metric (only increases), Histogram metric (tracks distribution), Summary metric

Interferências

Coming from languages without built-in metrics: may confuse gauge with variable assignment.

Família do chunk

  • counter metric
  • histogram metric
  • summary metric

Nuance

Gauges should not be used for cumulative counts; they reflect current state and can be misleading if not updated frequently.

Efeito pragmático

Provides real-time visibility into system resource usage, enabling alerts on spikes or drops.

Dica de memória

Think of a fuel gauge: shows current level, can go up or down.

Nota

When using Prometheus, register the gauge before setting values to avoid duplicate metric registration errors.

Upgrade path

Using a histogram metric to track distribution of values over time

Frequência: MediumFormulaicidade: Semi-fixedTipo de construção: conceptPrioridade de aquisição: Recognition firstPrioridade de output: BothTag de espaçamento: Medium-term

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