Grafana

Grafana is an open-source analytics and visualization platform that transforms time-series data into beautiful, interactive dashboards. It connects to dozens of data sources—including Prometheus, Elasticsearch, InfluxDB, MySQL, PostgreSQL, and cloud services like AWS CloudWatch and Google Cloud Monitoring—to create unified views of your infrastructure, applications, and business metrics. Teams use Grafana to monitor everything from server health to IoT devices.

Best for: DevOps and infrastructure teams that need flexible, customizable dashboards for monitoring and observability. Particularly valuable when you're already using Prometheus for metrics collection or running a heterogeneous monitoring stack with multiple data sources. Grafana excels at creating executive dashboards that combine technical and business metrics in one view.

Common Questions

What data sources does Grafana support?
Grafana supports 50+ native data sources including Prometheus, Graphite, Elasticsearch, InfluxDB, MySQL, PostgreSQL, AWS CloudWatch, Google Cloud Monitoring, Azure Monitor, Datadog, New Relic, Splunk, and many others. You can query multiple sources in a single dashboard and correlate data across systems. Custom plugins enable additional integrations.

Is Grafana completely free?
Yes, Grafana's core open-source software is completely free to self-host with unlimited dashboards, users, and data sources. Grafana Cloud offers a generous free tier (10,000 metrics, 50 GB logs, 50 GB traces/month) with paid tiers for higher usage. Grafana Enterprise (self-hosted) adds support, plugins, and enterprise features starting at $4/user/month.

How is Grafana different from Prometheus?
Prometheus collects and stores time-series metrics with a powerful query language (PromQL). Grafana visualizes those metrics in dashboards but doesn't store data itself—it queries Prometheus (or other sources) in real-time. They're complementary: Prometheus is the database, Grafana is the visualization layer. Most teams use both together.

Can Grafana send alerts?
Yes, Grafana includes alerting capabilities. You can define alert rules based on query thresholds and send notifications to Slack, PagerDuty, email, webhooks, and 20+ other channels. Grafana's unified alerting system consolidates alerts from multiple data sources. For advanced routing and silencing, many teams use Grafana with Alertmanager (from Prometheus).

Pricing & Plans

Self-Hosted (Open Source):

• Free, unlimited dashboards, users, data sources
• Requires your own infrastructure to host

Grafana Cloud:

• Free: 10,000 metrics, 50 GB logs, 50 GB traces/month, 3 users, 14-day retention
• Cloud Pro: $49/month, 15,000 metrics, 100 GB logs, 100 GB traces, 10 users
• Cloud Advanced: $299/month, 65,000 metrics, 500 GB logs, 500 GB traces, unlimited users
• Enterprise: Custom pricing for high-volume usage

Grafana Enterprise (Self-Hosted):

• From $4/active user/month, adds premium plugins, support, SLA

Limitations

• Self-hosting operational overhead: Running your own Grafana requires infrastructure management, updates, security patches, and backup configuration. Grafana Cloud eliminates this but adds costs.
• Query performance depends on data source: Dashboard load times are limited by how fast your underlying databases can return data. Slow Prometheus queries or large Elasticsearch aggregations cause slow dashboards.
• Steep learning curve for advanced features: Creating sophisticated dashboards with variables, templating, and complex queries requires significant time investment and understanding of your data source's query language.

Getting Started

For Grafana Cloud (easiest):

1. Sign up at grafana.com for a free cloud account
2. Add a data source (Prometheus, CloudWatch, or test data)
3. Import a dashboard from the community library (thousands available)
4. Customize panels with your own queries and visualization preferences
5. Share dashboards with your team via links or embed in other tools

For Self-Hosted:

1. Install Grafana using Docker, apt/yum packages, or Kubernetes Helm chart
2. Access the web UI (default port 3000) and log in (admin/admin initially)
3. Configure data sources under Configuration → Data Sources
4. Create or import dashboards and start building visualizations

Start with pre-built community dashboards for your stack (Node Exporter, Kubernetes, MySQL, etc.) to learn patterns before building custom views.