<pclass="desc">A flexible query languge allows slicing and dicing of collected timeseries data in order to generate ad-hoc graphs, tables, and alerts.</p>
<p>Prometheus supports multiple modes for visualizing data: a built-in expression browser, a GUI-based dashboard builder, and a console template language.</p>
<pclass="desc">Prometheus supports multiple modes for visualizing data: a built-in expression browser, a GUI-based dashboard builder, and a console template language.</p>
<p>Prometheus stores timeseries in memory and on local disk in an efficient custom format. Scaling is achieved by functional sharding and federation.</p>
<pclass="desc">Prometheus stores timeseries in memory and on local disk in an efficient custom format. Scaling is achieved by functional sharding and federation.</p>
<p>Prometheus servers are autonomous, with no dependency on distributed storage. Written in Go, all binaries are statically linked and easy to deploy.</p>
<pclass="desc">Prometheus servers are autonomous, with no dependency on distributed storage. Written in Go, all binaries are statically linked and easy to deploy.</p>
<pclass="desc">Client libraries allow easy instrumentation of services. Currently, Go, Java, and Ruby are supported. Custom libraries are easy to implement.</p>
<p>Alerts are defined based on Prometheus's flexible query language and maintain dimensional information. An alertmanager handles notifications and silencing.</p>
<pclass="desc">Alerts are defined based on Prometheus's flexible query language and maintain dimensional information. An alertmanager handles notifications and silencing.</p>
<p>Existing exporters allow bridging of third-party data into Prometheus. Examples: system statistics, as well as Docker, HAProxy, StatsD, and JMX metrics. </p>
<pclass="desc">Existing exporters allow bridging of third-party data into Prometheus. Examples: system statistics, as well as Docker, HAProxy, StatsD, and JMX metrics. </p>