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This article focuses on "A brief introduction to Prometheus architecture". Interested friends may wish to have a look at it. The method introduced in this paper is simple, fast and practical. Let's let the editor take you to learn "A brief introduction to Prometheus Architecture".

Prometheus is an open source monitoring and alarm system and time series database (TSDB) developed by SoundCloud. Prometheus is developed in the GE language and is an open source version of the Google BorgMon monitoring system. In 2016, Google launched the original Cloud Foundation (Cloud Native Computing Foundation) under the Linux Foundation to include Prometheus as its second largest open source project. Prometheus is currently active in the open source community. Prometheus and Heapster (Heapster is a subproject of K8S and is used to obtain performance data for the cluster.) Compared with the function is more perfect and more comprehensive. Prometheus performance is also sufficient to support tens of thousands of clusters. The architecture is as follows:

Prometheus Server, which is responsible for pulling and storing monitoring data from Exporter, and provides a flexible query language (PromQL) for users to use.

Exporter, responsible for collecting target objects (host, container... And make it available to Prometheus Server through the HTTP interface

Visualization component, the visual display of monitoring data is very important for the monitoring scheme. In the past, Prometheus developed its own set of tools, but then abandoned it because of the emergence of a better product Grafana in the open source community. Grafana can be seamlessly integrated with Prometheus to provide perfect data presentation capabilities.

Alertmanager. Users can define alarm rules based on monitoring data, which will trigger alarms. Once the Alermanager receives an alarm, it sends an alarm notification in a predefined manner. Supported methods include Email, PagerDuty, Webhook and so on.

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