Prometheus.io Website Review

Power your metrics and alerting with a leading open-source monitoring solution. Prometheus implements a highly dimensional data model. Time series are identified by a metric name and a set of key-value pairs. PromQL allows slicing and dicing of collected time series data in order to generate ad-hoc graphs, tables, and alerts. Prometheus has multiple modes for visualizing data: a built-in expression browser, Grafana integration, and a console template Prometheus stores time series in memory and on local disk in an efficient custom format. Scaling is achieved by functional sharding Each server is independent for reliability, relying only on local storage. Written in Go, all binaries are statically linked and easy to Alerts are defined based on Prometheus's flexible PromQL and maintain dimensional information. An alertmanager handles notifications and Client libraries allow easy instrumentation of services. Over ten languages are supported already and custom libraries are easy to Existing exporters allow bridging of third-party data into Prometheus. Examples: system statistics, as well as Docker, HAProxy, StatsD, and «Even though Borgmon remains internal to Google, the idea of treating time-series data as a data source for generating alerts is now Prometheus is 100% open source and community-driven. All components are available under the Apache 2 License © 2019 The Linux Foundation. All rights reserved. The Linux Foundation has registered trademarks and uses trademarks. For a list