Prometheus is an open-source monitoring solution that collects metrics from configured targets and stores them in a time-series database for querying and analysis.
The Java Prometheus client is a library that provides various modules for exposing and managing metrics in Java applications.
Metrics in Prometheus are classified into four types: Counter, Gauge, Histogram, and Summary.
To use Prometheus in Java, you need to configure it to scrape metrics from your target applications by creating a configuration file called prometheus.yml.
In Java, the Prometheus Java Client library provides an easy way to integrate custom and JVM metrics into your Java applications.
The library supports metric types such as Counter, Gauge, and Histogram, and gives a way to build robust monitoring for your applications.
The Java program demonstrates how to expose Prometheus-compatible metrics and how Prometheus can scrape these metrics to monitor an application's performance and health over time.
The primary advantages of Prometheus include a Rich Query Language (PromQL), an efficient data model, alerting using Alertmanager, and support for custom exporters.
To expose JVM metrics in Java, use the simpleclient_hotspot module, which initializes default JVM metrics and starts an HTTP server allowing the application to expose these metrics.
Overall, the Prometheus Java Client library is an excellent tool to help developers monitor their applications' performance and health and provides a powerful solution for scaling monitoring tasks.