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Prometheus is an open-source systems monitoring and alerting toolkit originally built at SoundCloud. Since its inception in 2012, many companies and organizations have adopted Prometheus, and the project has a very active developer and user community. Prometheus works well for recording any purely numeric time series. It fits both machine-centric monitoring as well as monitoring of highly dynamic service-oriented architectures.
|Latest version||2.24||Current Version(s)||2.25.0 Community||Customer support||Live chat/ Ticket|
|License type||Apache License 2.0||First release date||Nov 24, 2008||Latest release date||Jan 20, 2021|
|Product category||Operations||Managed by us||Yes||Open source||Yes|
|Platforms||Linux, Windows, Darwin|
|Prometheus implements a highly dimensional data model. This flexible data model enables you to discover problems in real-time without recreating the issue outside of the system after the event.|
|There are a lot of exporters that help in exporting existing metrics from third-party systems as Prometheus metrics into Prometheus. They are either official or externally contributed and maintained.|
|Prometheus provides PromQL, a functional query language, that allows slicing and dicing of collected time-series data to generate ad-hoc graphs, tables, alerts, etc.|
|Many Client Libraries|
|Client libraries allow for adding instrumentation to target services. More than 20 languages are already supported. They includes official client libraries, like Go and Python, and a variety of third-party ones, such as C++ and bash.|
|Prometheus has a built-in expression browser for visualizing data. Besides that, it also allows for Grafana integration or a console template language to visualize Prometheus metrics.|
|Prometheus can send notifications about firing alerts to external services based on the alerting rules you set, monitoring the health of your servers, apps, and services.|
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