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Grafana

FreemiumPopular

Multi-platform analytics and monitoring with log visualization, alerting, and unified dashboards over many backends.

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Pricing

Freemium

Type

Automation

Languages

Go

Community

// VERDICT

Reach for Grafana when you want flexible, open-source dashboards unifying many data sources, self-hosted or via Grafana Cloud. Skip it when you want a single bundled platform that also collects and stores the data (Datadog/New Relic).

Best for

Open-source visualisation and dashboards over your existing data sources (Prometheus, Loki, Elasticsearch, InfluxDB and many more) - the de-facto dashboarding layer, with Grafana Cloud for a managed option.

Avoid when

You want an all-in-one data-collection platform rather than a visualisation layer, or a turnkey commercial suite with everything bundled.

CI/CD fit

Self-host (Docker/Helm) or Grafana Cloud · dashboards-as-code · Prometheus/Loki sources

Languages

Go

Team fit

DevOps/SRE teams · QA visualising test + prod metrics · Teams wanting open-source dashboards

Setup

Medium

Maintenance

Medium

Learning

Intermediate

Licence

Freemium

// BEST FOR

  • Building dashboards over many data sources in one view
  • Open-source and self-hostable (or managed via Grafana Cloud)
  • Visualising metrics from Prometheus, logs from Loki, and more
  • Correlating load-test results with system metrics (see the perf sheet)
  • Dashboards-as-code for version-controlled observability
  • A vendor-neutral layer that isn't tied to one backend

// AVOID WHEN

  • You want an all-in-one collect+store+visualise platform (Datadog)
  • You don't want to run/manage the data sources behind it
  • A turnkey commercial suite with support is required
  • You need built-in APM/tracing rather than a viz layer
  • You want zero setup
  • Single-pillar error tracking is all you need (Sentry)

// QUICK START

docker run -d -p 3000:3000 grafana/grafana
# add a data source (Prometheus/Loki/Elasticsearch) -> build dashboards;
# or manage dashboards-as-code via provisioning.

// ALTERNATIVES TO CONSIDER

ToolChoose it when
KibanaYour data lives in Elasticsearch and you want the Elastic Stack's viz layer.
DatadogYou want an all-in-one platform that also collects and stores the data.
New RelicYou want a bundled observability platform with built-in APM.

// FEATURES

  • Unified dashboards across Prometheus, Loki, Elasticsearch, and many backends
  • Loki for log aggregation alongside metric and trace correlation
  • Alert rules with multi-channel routing (Slack, PagerDuty, email)
  • Tempo for distributed traces alongside metrics and logs
  • Plugin ecosystem and templated panels for reusable dashboards

// PRIMARY USE CASES

  1. TEST RUN OBSERVABILITY

    Dashboard pass/fail rates, flake counts, and execution time across CI runs and environments.

  2. PERFORMANCE MONITORING

    Visualise k6 or JMeter results in real time alongside system metrics from the target service.

  3. ALERTING

    Trigger Slack or PagerDuty alerts when test reliability or latency regresses past defined thresholds.

// PROS

  • Vendor-neutral — pulls from virtually any data source
  • Self-hostable open source, with Grafana Cloud as a managed option
  • Best-in-class dashboarding for ops teams
  • Strong community, plugins, and reference dashboards

// CONS

  • Setting up Loki/Tempo/Mimir for the full stack is non-trivial
  • Alerting configuration sprawl on large deployments
  • Some enterprise features locked behind Grafana Cloud Pro/Enterprise

// EXAMPLE QA WORKFLOW

  1. Run Grafana (Docker/Helm) or use Grafana Cloud

  2. Connect data sources (Prometheus, Loki, Elasticsearch, etc.)

  3. Build dashboards for key metrics and logs

  4. Manage dashboards as code for version control

  5. Correlate load-test results with system metrics

  6. Track post-release health on shared dashboards

// RELATED QA.CODES RESOURCES