Many Grafana users also learn how to run Grafana as a project or as an at-home visualization tool — something this writer recommends — as a way to become acquainted with both Grafana and Prometheus for time series data monitoring, as well as with other tools such as Telegraf and InfluxDB.

To that end, Grafana recently expanded Grafana 7.0 with the release of 7.2 to include more data-modification options, for visualizations including time ranges, graphs, and other options.

Grafana said it also seeks to remove many of the hurdles in the adoption of Prometheus with the use of its dashboard.

Another Grafana issue GME helps to solve is how Prometheus’s high availability model relies on pairs of Prometheus servers scraping the same targets, Wilkie said.

With “fewer things to manage,” Wilkie said GME offers a push-based agent architecture brings the benefits of Prometheus (data model, PromQL, performance and integrations) to organizations where the Prometheus pull-based model is hard to implement due to network topology, security rules or compliance controls.

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