
Prometheus Exporters are used to export data metrics from Prometheus. And visualization engines like Grafana can query data out of Prometheus and display it. This can interact with downstream systems like PagerDuty.

Alerts can be triggered via the AlertManager. It can also pull metrics from Prometheus exporters, which is what we’ll be doing. This is done by using its Service Discovery mechanisms.

Prometheus can also discover new metrics running inside of supported environments like Kubernetes. Batch jobs and ephemeral workload applications can push metrics into Prometheus. Prometheus can gather metrics in several different ways.
#JMX EXPORTER HOW TO#
In this on-demand webinar, our expert walks through how to import metrics from your Java application into Prometheus, then visualize them via Grafana. Prometheus and Grafana can combine for a modern and immensely helpful Java application monitoring and dashboard solution. See How to Monitor Java Applications With Prometheus and Grafana But it has quickly evolved into a flexible, enterprise-ready monitoring solution. It was originally used to monitor containers running within Kubernetes. It stores and exposes metrics and statistics. Prometheus is a powerful and popular open source time series tool and database.

In part one of this blog series, we look at how to import data from your Java application, configure Prometheus to call for that data, and how to validate once these steps are complete.
