Metrics and Observability - jaegertracing/jaeger-lib

Metrics and Observability in Jaeger

Jaeger, an open-source distributed tracing system, provides various metrics libraries for monitoring and troubleshooting distributed systems. These libraries include expvar, Prometheus, and go-kit, each serving a unique purpose.

expvar

The expvar library is a Go standard mechanism for exposing process level statistics. It provides a simple HTTP server that serves a directory of variables that can be incremented, decremented, or read. Jaeger utilizes expvar to expose metrics in a Prometheus-compatible format.

Example usage:

import "expvar"

// create a new int variable
myVar := expvar.NewInt("my_variable")

// increment the variable
myVar.Add(1)

Prometheus

Prometheus is an open-source systems monitoring and alerting toolkit. Jaeger integrates with Prometheus to expose metrics in a time-series format. This integration allows for powerful querying and visualization of metrics.

Example usage:

import "github.com/prometheus/client_golang/prometheus"

// create a new counter
myCounter := prometheus.NewCounter(prometheus.CounterOpts{
Name: "my_counter",
Help: "A simple counter",
})

// register the counter with the Prometheus registry
prometheus.MustRegister(myCounter)

// increment the counter
myCounter.Inc()

go-kit

go-kit is a collection of libraries for building microservices in Go. Jaeger includes a go-kit metrics library that provides a simple and consistent interface for creating and registering metrics.

Example usage:

import "github.com/go-kit/kit/metrics"

// create a new counter
myCounter := metrics.NewCounter(metrics.WithName("my_counter"))

// increment the counter
myCounter.With("method", "my_method").Add(1)

Metrics can be used to monitor and troubleshoot distributed systems by providing insights into the behavior and performance of these systems. By utilizing the metrics libraries provided by Jaeger, users can build a robust monitoring infrastructure for their Jaeger installation.

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