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title: "Metrics and visualizations | Grafana Cloud documentation"
description: "Metrics and visualizations Metrics tell you how much of something exists, such as how much memory a computer system has available or how many centimeters long a desktop is. In the case of Grafana, metrics are most useful when they are recorded repeatedly over time. This permits us to compare things like how running a program affects the availability of system resources."
---

# Metrics and visualizations

Metrics tell you how much of something exists, such as how much memory a computer system has available or how many centimeters long a desktop is. In the case of Grafana, metrics are most useful when they are recorded repeatedly over time. This permits us to compare things like how running a program affects the availability of system resources.

Metrics like these are stored in a time series database (TSDB), like [Prometheus](https://prometheus.io/), by recording a metric and pairing that entry with a time stamp. Each TSDB uses a slightly different [data model](https://prometheus.io/docs/concepts/data_model/), but all combine these two aspects and Grafana Cloud can accept their different metrics formats for visualization.

For example, one might be interested in comparing system I/O performance as the number of users increases during a morning while many users in a company come online to start their work days.

A chart showing this change of resource use across time is an example of a visualization. Comparing these time-stamped metrics over time using visualizations makes it quick and easy to see changes to a computer system, especially as events occur.

Grafana and Grafana Cloud offer a variety of visualizations to suit different use cases. See the Grafana documentation on [visualizations](/docs/grafana/latest/panels-visualizations/visualizations/) for more information.