Grafana
Definition
Open-source platform for monitoring and observability with customizable dashboards, enabling real-time data visualization and analysis.
Use Cases
- Grafana Labs: Operate and monitor the Grafana Cloud platform and internal services with unified dashboards and alerting. — Uses Grafana as the primary UI for observability, connecting to metrics and logs backends (commonly Prometheus-compatible metrics and log stores) and building dashboards and alerts for service health and SLO tracking. (Faster detection and triage of incidents through centralized dashboards and alerts, improving operational visibility across teams.)
- Kubernetes community (CNCF ecosystem): Cluster monitoring for node health, pod performance, and control-plane visibility. — Commonly deploys Prometheus for metrics collection and Grafana for visualization using widely adopted community dashboards (e.g., Kubernetes/Node Exporter dashboards) and alert rules via Alertmanager or Grafana Alerting. (Improved reliability and capacity planning by making cluster resource usage and performance bottlenecks visible in real time.)
- GitLab: Monitor application performance and infrastructure metrics for CI/CD and production services. — Publishes and uses Grafana dashboards as part of its monitoring approach, typically pairing Grafana with Prometheus-style metrics to visualize service performance and operational KPIs. (Better operational insight into service behavior and faster troubleshooting using shared dashboards across engineering teams.)
Provider Equivalents
- AWS: Amazon Managed Grafana
- Azure: Azure Managed Grafana
Frequently Asked Questions
- What's the difference between Grafana and Prometheus?
- Prometheus is a metrics database and monitoring system that collects and stores time-series metrics. Grafana is a visualization and alerting layer that queries data sources like Prometheus (and many others) to build dashboards and alerts. In practice, Prometheus gathers the metrics; Grafana helps you explore and present them.
- When should I use Grafana?
- Use Grafana when you need dashboards and alerts across one or more data sources (metrics, logs, traces) and want a single place to visualize system health, application performance, and business KPIs. It’s especially useful for teams running microservices, Kubernetes, or multi-cloud environments where data comes from multiple tools.
- How much does Grafana cost?
- Grafana Open Source is free to use, but you pay for the infrastructure it runs on (VMs, Kubernetes, storage) and for the data sources it queries. Managed options (Amazon Managed Grafana, Azure Managed Grafana, or Grafana Cloud) charge based on usage and plan features; costs typically depend on the number of users, active dashboards, and the volume/retention of observability data in connected backends.
Category: monitoring
Difficulty: intermediate
Related Terms
See Also