Grafana and Prometheus logo

Grafana and Prometheus

by Grafana Labs
Observability

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.

Key features

Time-series metrics collection

Use Prometheus to scrape, store, and query Kubernetes and workload metrics.

Dashboards and visualization

Use Grafana dashboards to explore metrics and track cluster health over time.

Alerting-ready stack

Set up monitoring workflows with Prometheus rules and Grafana-based analysis.

Kubernetes-native deployment

Install with Helm and operate inside your existing Nebius Managed Kubernetes cluster.


Pricing

Additional Nebius infrastructure costs may apply. Use the Nebius Pricing Page to estimate your infrastructure costs.

Self-managed

Grafana and Prometheus on Kubernetes

Deploy Grafana and Prometheus on your Kubernetes cluster for metrics collection, dashboards, and alerting.

Free
Charged for resources
Setup time20+ minutes
ScalingAuto
MaintenanceSelf-managed (cluster)
Deploy
White-glove

Deploy with a solutions architect

Some applications are easier with a hand on the wheel. Talk to an architect who has deployed this in production.

  • Architecture review & sizing
  • Hands-on deploy session
  • 30 days of follow-up support
Talk to an expert

Security & compliance

Run Grafana and Prometheus on infrastructure built for AI workloads

Reliable AI infrastructure backed by top-tier NVIDIA GPUs, purpose-built for demanding inference workloads. Multiple deployment methods — virtual machines for full hardware control, Kubernetes for scalable cluster deployments, and managed serverless applications for teams that want inference running without infrastructure overhead

Learn about Nebius AI Cloud

Security & compliance, out of the box

Nebius meets a broad set of security and compliance standards. Fine-grained IAM controls, audit logs, and encrypted storage are available out of the box — so teams can meet security requirements without additional tooling.

Explore the Trust center

Support

Application support

Provided by Grafana Labs. See the documentation and project links above.

Infrastructure support

Provided by Nebius for the underlying cloud infrastructure.