Open Source Go Hardware Monitoring Software

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 language. Prometheus stores time series in memory and on local disk in an efficient custom format. Scaling is achieved by functional sharding and federation. Existing exporters allow bridging of third-party data into Prometheus. You can enable additional collectors as desired by adding them to your init system's or service supervisor's startup configuration for node_exporter but caution is advised. Enable at most one at a time, testing first on a non-production system, then by hand on a single production node.