Jmx exporter9/23/2023 ![]() ![]() Prometheus will evaluate the rules against the metrics which it is scraping and when any of the rules is matched, it will send it to Alertmanager.Īlertmanager will be then responsible for managing these alerts. You can configure rules which should trigger alerts. Prometheus can also be used for alerting. One of the tools supporting it is Grafana, which can be used to visualize the data from the Prometheus database. ![]() The PromQL language is an API which other applications can use to query the metrics. Once the metrics are stored in the database, you can query them using the PromQL query language. There are many tools and libraries which make it easy for you to create the Prometheus endpoint in your application.Ĭheck the Instrumenting section of the Prometheus documentation to learn more about how to expose Prometheus metrics from your application. The interface from which Prometheus scrapes these data is a simple HTTP endpoint providing a text output with the metrics. Instead, Prometheus will scrape (collect) metrics from you applications and store them in its time-series database. Unlike many other monitoring systems, with Prometheus your applications do not have to push the metrics to Prometheus. Prometheus is an open source monitoring solution which has become the de-facto standard for metrics and alerting in the cloud native world. Kafka Exporter adds some additional metrics that are missing in Kafka brokers. Strimzi has supported Prometheus for Kafka metrics almost since the beginning.īut in 0.14.0 we have made some major improvements by adding support for the Kafka Exporter tool. We also have some significant improvements to Prometheus monitoring. In our previous blog post we focused on tracing which was one of the new features in our 0.14.0 release.īut tracing is not the only improvement to the monitoring capabilities we did in 0.14.0. ![]()
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