Grafana® is a data monitoring, analysis, and visualization platform. It provides a tailored and customizable way to build context-rich visualization through charts and other methods of presenting data, which makes it suitable for the needs of a specific software development project. Dashboards in Grafana give insightful meaning to the data collected, helping to understand your data. With Grafana you can create, explore, and share all of your data with team members through beautiful, flexible dashboards. The platform can be connected to Graphite, OpenTSDB, InfluxDB, MySQL, PostgreSQL, and many other engines.
Prometheus is an open-source system monitoring and alerting toolkit, which collects and stores its metrics as time series data. Metrics information is stored with the corresponding timestamp, together with optional key-value pairs called labels. It is a multi-dimensional data model with time series data identified by metric name and key/value pairs. PromQL, a flexible query language, allows to leverage this dimensionality. Prometheus uses pull model to collect time series over HTTP, and targets are discovered via service discovery or static configuration.
Grafana provides out-of-the-box support for Prometheus which allows users to import Prometheus performance metrics as a data source, and render and visualize them as graphs and dashboards. This image provides both these products.
Click the button in this card to go to VM creation. The image will be automatically selected under Image/boot disk selection.
Under Network settings, enable a public IP address for the VM (Public IP:
Autofor a random address or
Listif you have a reserved static address).
Under Access, paste the public key from the pair into the SSH key field.
Create the VM.
To access Grafana, go to
http://<public_IP_address_of_VM>:3000. To access Prometheus, go to
http://<public_IP_address_of_VM>:9090. To authenticate in either, use the following credentials:
- Password: The ID of your VM. See the how-to guide on getting information about a VM.
- Collecting, storing, checking, and querying purely numeric time series metrics.
- Context-rich data monitoring, alerting, analysing, and visualizing with flexible dashboards that support heatmaps, graphs, tables, and free text panel types.
Nebius AI does not provide technical support for the product. If you have any issues, please refer to the developer’s information resources.