Initiating a web server to display metrics through a URL.Transforming captured data into a Prometheus ingestible format by leveraging client libraries.Extracting metrics data from a non-Prometheus application. ![]() Providing a target endpoint that the Prometheus server periodically queries for metrics.For event-based monitoring, the Prometheus client relies on an exporter that acts as an abstraction layer between the application and the Prometheus server.Ī Prometheus exporter’s working mechanism typically involves the following: Prometheus implements the HTTP pull model to gather metrics from client components. Exporters use a simple, text-based, key-value format to scrape and expose metrics over time, via HTTP, for aggregation and decision-making. A Prometheus exporter acts as a proxy between such an applications and the Prometheus server. An exporter is considered essential in any cloud-native ecosystem that includes applications that don’t expose Prometheus-supported metrics by default. What is a Prometheus exporter?Ī Prometheus exporter aggregates and imports data from a non-Prometheus to a Prometheus system. In this guide, we’ll discuss how Prometheus exporters work, practical steps for implementing exporters in a deployment, and recommended practices for using them. While Prometheus uses instrumented jobs to scrape metrics from non-Prometheus target endpoints, an exporter acts as an emissary push-gateway between a third-party application and the Prometheus server, to expose data as native metrics. Unsurprisingly, Prometheus event monitoring and alerting is built on the accuracy and comprehensiveness of metric data. Prometheus continues to be one of the most popular cloud-native monitoring tools for collecting and aggregating metric statistics as time series data.
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