Monitoring networks with Grafana and Prometheus
Monitoring networks with Grafana and Prometheus is a common approach in system administration and observability. This combination offers a solution for collecting, visualizing, and alerting based on system and network performance. Both tools are open source and widely used in modern IT environments. Grafana acts as a visualization platform, while Prometheus is responsible for querying, storing, and analyzing metrics. Together, they form a robust foundation for network monitoring.
Prometheus is a time-series database and monitoring toolkit specifically designed for scraping metrics from systems and applications. It works by fetching (scraping) data at regular intervals from configured endpoints, which make this data available via an HTTP interface at the `/metrics` path. These metrics are stored in a time series, indicating how a particular value — such as CPU usage or network bandwidth — evolves over time. Grafana describes this process explicitly in the documentation on the Prometheus data source, which states that Prometheus monitors systems through this active scraping of metrics.
Grafana is a platform for visualizing measurements from various sources, including Prometheus. When Prometheus is set up as a data source in Grafana, the user can build dashboards on which the scraped metrics are displayed in graphs, tables, and other visualizations. According to Grafana's own documentation, you add the Prometheus data source via the menu Data Sources → Add data source → Prometheus. The same procedure is also confirmed in Prometheus's own documentation, indicating a well-integrated collaboration between the two tools.
A standard setup for network monitoring with this combination requires more than just Prometheus and Grafana. According to Grafana's documentation on getting started with network monitoring, the Node Exporter is an essential component. The Node Exporter is a Prometheus exporter that is installed on a server and makes system metrics available, such as CPU, memory, disk usage, and network statistics. Grafana's beginner's guide to network monitoring, dated 2022-01-20, describes the first step as downloading both Prometheus and the Node Exporter, followed by configuration and building dashboards in Grafana.
In addition to monitoring external systems via the Node Exporter, Prometheus can also use metrics that Grafana itself makes available. Grafana documents that the Grafana system can expose its own metrics at the `/metrics` path, which can subsequently be scraped by Prometheus. In the example configuration, there is a scrape job with an interval of `15 seconds` and a timeout of `5 seconds`. This means that Prometheus sends a request to Grafana every 15 seconds to fetch current metrics, and waits up to 5 seconds for a response. This mechanism ensures a continuous flow of monitoring data about the health and performance of Grafana itself.
A specific example of a target that can be scraped by Prometheus is `localhost:3000`, as mentioned in the Grafana documentation on setting up Grafana monitoring. This is the default port on which Grafana listens when running locally. By configuring this address as a target in Prometheus, the system can track how many users there are, how many dashboards are loaded, and whether errors occur in the backend.
The Grafana documentation pages related to Prometheus and network monitoring have been recently updated. According to the sources, these pages were updated between 2026-08-20 and 2026-08-24. The Prometheus page on Grafana support was updated on 2026-06-07, indicating that the integration between the two tools is continuously maintained and improved.
The setup of this monitoring stack begins with downloading Prometheus and the Node Exporter. Next, Prometheus must be configured to scrape the correct targets, including the Node Exporter on the servers to be monitored and possibly Grafana itself. Configuration is done via a YAML file, in which scrape intervals, targets, and timeouts are defined. After starting Prometheus, the metrics are available via the Prometheus web interface, but the full power of the solution only becomes apparent when Grafana is connected.
Through Grafana, users can create dashboards that provide real-time insight into network status, such as incoming and outgoing bandwidth, connection errors, or CPU load of network devices. These dashboards are customizable and can be shared within teams. Grafana supports not only Prometheus but also other data sources, which increases flexibility in complex environments.
In summary, the combination of Grafana and Prometheus offers a solid, open-source solution for monitoring networks. The tools are well documented, strongly integrated, and suitable for both beginners and advanced users. The basic setup with Prometheus, Node Exporter, and Grafana enables administrators to continuously monitor systems, recognize trends, and alert in a timely manner when anomalies occur.