What is Grafana?

How Grafana Works

Grafana runs as a single binary that serves a web interface and connects to external data sources through a plugin-based architecture. The application does not store metrics, logs, or traces itself. Instead, it queries data backends at render time and combines results from multiple sources into unified dashboards. Users define dashboards as JSON documents that specify which data sources to query, how to visualize the results, and which variables to expose as interactive filters.

The plugin system enables three types of extensibility. Data source plugins connect Grafana to backends like Prometheus, InfluxDB, Elasticsearch, and MySQL by implementing query interfaces and metadata discovery protocols. Panel plugins create visualization types beyond standard graphs and tables, enabling custom gauges, topology diagrams, and domain-specific displays. App plugins bundle complete applications within Grafana, combining multiple data sources and panels into packaged workflows for incident management or synthetic monitoring.

Grafana Labs develops an integrated observability stack called LGTM, where Loki aggregates logs by indexing metadata rather than full text, Tempo stores distributed traces for request flow analysis, Mimir provides horizontally scalable Prometheus-compatible metrics storage, and Grafana serves as the unified visualization layer connecting all three backends. Organizations managing managed cloud infrastructure increasingly deploy LGTM components together to achieve comprehensive observability across multi-cloud and hybrid environments.

Why Grafana Matters

Without unified observability platforms, infrastructure teams waste time switching between separate tools for metrics, logs, and traces, missing correlations that would accelerate root cause analysis during incidents. Grafana addresses this by consolidating data from dozens of backends into a single query and visualization interface, reducing mean time to resolution and lowering operational costs through tool consolidation. Providers with infrastructure monitoring capabilities frequently use Grafana as their primary visualization platform for client dashboards and internal operations visibility.

As of 2025, Grafana Labs reported over 7,000 paying customers including Nvidia, Anthropic, and Uber, with the platform's free tier providing 10,000 Prometheus metrics series and 50GB each of logs, traces, and profiles. Organizations adopting cloud-native architectures and microservices increasingly rely on distributed tracing and unified observability to manage complexity across multi-cloud and hybrid infrastructure, making platforms that correlate metrics, logs, and traces essential for modern DevOps and SRE workflows.

Grafana vs. Prometheus

The key difference is that Grafana visualizes data from external sources like Prometheus, while Prometheus collects and stores metrics. The two tools are complementary and frequently deployed together.

Common Misconceptions

Grafana is not a monitoring tool. Grafana is a visualization platform that requires external data backends like Prometheus, Loki, or InfluxDB to provide the metrics, logs, and traces it displays.

Grafana does not require Prometheus to function. Grafana supports over 50 data source plugins including Elasticsearch, MySQL, PostgreSQL, Graphite, and cloud-native backends, making Prometheus one option among many.