Grafana connects to a variety of data sources similar as Prometheus, InfluxDB, ElasticSearch, and traditional relational database machines. Complex dashboards are created by using these sources to elect applicable fields from your data. Dashboards can incorporate a varied range of visualization factors similar as graphs, heat charts, and histograms.
In this composition, we ’ll cover what Grafana does and when it should be used. It’s important to fete there’s no universal use case though Grafana’s used to dissect your data, so every installation will work else and be acclimatized to the specific dataset it’s caching.
According to inventor Grafana Labs, the product is a “ complete observability mound” that gives you everything you need to interact with your data. That might be real- time graphing of time series data from sources similar as Prometheus, analysis of events in software log lines, or using a custom plugin to pull out deep perceptivity from a SQL database.
You interact with Grafana via largely visual dashboards. Each dashboard is erected from modular panels that you connect to your data sources. A single dashboard can surface criteria from multiple sources contemporaneously, letting you track your entire mound from one view.