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Saved by uncleflo on May 12th, 2019.
Power your metrics and alerting with a leadingopen-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 language. Prometheus stores time series in memory and on local disk in an efficient custom format. Scaling is achieved by functional sharding and federation. Each server is independent for reliability, relying only on local storage. Written in Go, all binaries are statically linked and easy to deploy.
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