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Grafana with Prometheus

Query Prometheus from Grafana to build operational dashboards and alerts without hiding label semantics, query cost or data-source security boundaries.

Integration boundary

Grafana uses the Prometheus HTTP API as a data source, evaluates PromQL queries and presents the resulting time series in panels, variables and alert rules.

Supported approaches

Provisioned data source

Manage the Prometheus data source as versioned Grafana provisioning configuration.

UI-managed data source

Configure interactively for exploration, then govern changes and access through Grafana controls.

Prerequisites

  • A reachable Prometheus-compatible API
  • An authentication and TLS decision
  • Grafana data-source permissions
  • Known label and retention semantics

Implementation

1

Configure server-side access

Use a URL reachable from the Grafana server and avoid exposing credentials to browsers.

2

Set query intervals

Align scrape interval, panel resolution and minimum step to avoid misleading or expensive queries.

3

Build from recording rules

Use precomputed series for repeated expensive expressions where operationally justified.

Verification

1

Test the data source

Confirm health from Grafana and inspect the effective endpoint.

2

Compare a known query

Run the same PromQL query in Prometheus and Grafana with matching time range and step.

3

Review permissions

Confirm teams cannot query data sources beyond their intended boundary.

Boundary failures

Common failure modes

  • Grafana points at localhost inside its own container
  • Panel step hides short events
  • Dashboard variables create high-cardinality query storms
  • Data-source credentials are exposed in client-side configuration
Engineering signal

Follow Grafana and Prometheus failures and fixes

One useful weekly email with new error references, tools, integration notes and production lessons. No daily noise.