Grafana is commonly used with Prometheus for what purpose?

• A. Visualize and analyze metrics
• B. Store metrics long-term in a database
• C. Provide log aggregation
• D. Manage user access to dashboards

Answer: (A)

The main idea is to visualize and analyze metrics. Prometheus collects and stores time-series metric data, and Grafana serves as the visualization layer that connects to Prometheus, runs queries (PromQL), and renders dashboards with graphs, charts, and tables. This pairing lets you see trends, compare metrics across services, and quickly spot anomalies in an intuitive, interactive way.

Grafana isn’t a long-term storage database for metrics; Prometheus handles collection and storage (with optional remote storage for longer retention). It isn’t primarily a log aggregator (that’s what tools like Loki are for, though Grafana can display logs when wired to a log source). And while Grafana can manage access to dashboards, its strong suit with Prometheus is turning raw metric data into readable, actionable visualizations.