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Grafana

Grafana is an open-source platform for data visualization and analytics that pulls metrics from many different sources and presents them on interactive, highly configurable dashboards. It is one of the most popular tools in the observability ecosystem, used by DevOps and SRE teams to watch the health of servers, applications and infrastructure in real time. Crucially, Grafana stores no data itself — it acts as a universal presentation layer on top of external metrics and log databases.

How Grafana works

Grafana is built around data sources — plugins that connect it to systems holding metrics and logs. The most common are Prometheus, InfluxDB, Loki (for logs), Elasticsearch, and classic SQL databases such as PostgreSQL and MySQL. On top of them you build:

  • Panels — individual visualizations (time-series graph, bar chart, gauge, table, heatmap), each with its own query against a data source.
  • Dashboards — collections of panels forming a coherent view, for example CPU load, RAM usage, network traffic and response time for one service.
  • Variables — parameters that let a single dashboard switch between servers, environments or services without duplicating panels.
  • Alerts — rules that trigger when a threshold is crossed, sending notifications to email, Slack, PagerDuty or a webhook.

Grafana in practice

Typical scenarios where Grafana shines:

  1. Infrastructure monitoring — a single dashboard aggregates metrics from dozens of VPS servers and containers, exposing bottlenecks before they become outages.
  2. Application observability — request rate, latency and error metrics (the golden signals) reveal the real user experience.
  3. Log analysis — combined with Loki, you can browse logs beside charts, correlating an error spike with a specific deployment.

Grafana supports multi-org and team-based access, and ready-made dashboards can be imported from a community library, dramatically shortening the path to a working monitoring setup.

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How is Grafana different from Prometheus?

They are complementary tools. Prometheus collects and stores metrics as a time-series database and exposes them via PromQL queries. Grafana stores no data of its own — it connects to Prometheus (and many other sources) as a visualization layer, drawing charts and firing alerts. In practice they are often used together.