Grafana

Actionable workflows for building, alerting, and scaling dashboards in Grafana
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Open your first dashboard in minutes: connect a source, drop a panel, and hit Save. Start by linking Prometheus, Graphite, CloudWatch, Loki, SQL, or a custom API. Use built‑in starter dashboards as scaffolding, then add panels for time series, gauges, tables, or bar charts. Create variables (service, region, cluster) to filter once and reuse across panels. Apply transformations to join, group, or compute rates without leaving the UI. Keep your layout tidy with grid positioning and panel library components you can reuse across projects. Whether you’re on Grafana Cloud or self‑hosting, the workflow is the same: query, visualize, refine, and publish.

Turn insights into action with alerting. For any query, define thresholds, evaluation windows, and mute timings. Route notifications to Slack, PagerDuty, Microsoft Teams, email, or webhooks using labeled routes (prod vs staging, critical vs warning). Add contact points and escalation policies so teams only get what matters. Enrich alerts with runbook links and example queries. During incidents, use the Explore view to pivot from a metric spike to related labels, compare deployments, and overlay annotations (releases, config changes) directly on charts. Organize environments with folders and role‑based permissions so engineers, analysts, and execs see the right data.

Speed up triage by stitching metrics to logs and traces. From a panel, jump into Loki with the same labels to inspect recent events, then narrow with LogQL filters, parsers, and line formatting. Use exemplars to hop from a latency bucket to a single trace when Tempo is connected. Build a debugging board with side‑by‑side panels: error rate, p99 latency, recent logs, and top offenders by endpoint. Share outcomes fast: create a public link (when allowed), a time‑locked snapshot for vendors, or keep it private for internal reviews. Add dashboard notes for handoffs so anyone opening it later understands what to check first.

Operate at scale without losing speed. For big Prometheus setups, use recording rules, label hygiene, and remote write to a long‑term store to keep queries responsive. Enable caching and downsampling where available to control cost. Standardize dashboards with JSON provisioning or Terraform; commit changes to Git so revisions are reviewable and rollbacks are instant. In regulated environments, enable SSO, granular roles, and auditing. Extend reach with enterprise plugins to pull from Splunk, Snowflake, ServiceNow, Datadog, and more—no re‑ingest required. As usage grows, build a library of team templates, tag dashboards by owner and priority, and set SLIs/SLOs that feed alerts and executive scorecards automatically.

Review Summary

Features

  • Interactive, reusable dashboards and panel library
  • Data source connectors for metrics, logs, and SQL
  • Templating with variables and cross‑panel filtering
  • Transformations for joins, grouping, and calculations
  • Alert rules with routing, silences, and escalations
  • Explore view for ad‑hoc queries and comparisons
  • Logs analytics with LogQL and label correlation
  • Trace linking via exemplars and Tempo integration
  • Annotations, runbook links, and dashboard notes
  • Role‑based access, folders, and private/public sharing
  • Provisioning via JSON and Terraform for GitOps
  • Enterprise plugins for third‑party systems
  • Managed cloud option with high availability
  • Security features including SSO and audit logs

How It’s Used

  • SRE teams tracking uptime, latency, and error budgets
  • Application owners monitoring deployments and rollbacks
  • Capacity planning using workload, CPU, and storage trends
  • Business KPI wallboards for revenue and conversion metrics
  • Security operations triaging spikes in authentication logs
  • IoT and industrial telemetry dashboards across sites
  • Cost and usage (FinOps) reporting with alerts on spend
  • Incident response with alert routing and on‑call workflows
  • Executive reporting using curated, read‑only views
  • Developer sandboxes for local services using docker‑compose

Plans & Pricing

Free Forever

Free

Metrics - 10k Metrics Billable Series, 14 Days Retention
Visualization - 3 Active Users with Enterprise Plugins
Logs, Traces, Profiles - 50 GB each, 14 Days Retention
IRM - 3 Active Users
Application Observability - 2,232 Host Hours
Kubernetes Monitoring - 2.2K Host / 37K Container Hours
Frontend Observability - 50K Sessions
Synthetics - 100K Test Executions
k6 Performance Testing - 500 Virtual User Hours, 14 Days Retention

Pro

$19.00 per month

Metrics - $8 Per 1K Series, 13 Months Retention
Visualization - $8 Per Active User or $55 Per Active User with Enterprise Plugins
Logs, Traces, Profiles - $0.50 Per GB Ingested, 30 Days Retention
IRM - $20 Per Active User
Application Observability - $0.04 Per Host Hour, Pay for Actual Usage, No Peak Billing
Kubernetes Monitoring - $0.015 Per Host Hour, $0.001 Per Container Hour
Frontend Observability - $0.90 Per 1K Sessions
Synthetics - $5 Per 10K Test Executions
k6 Performance Testing - $0.15 Per VUh, 30 Days Retention

Advanced

$299.00 per month

Metrics - $8 Per 1K Series, 13 Months Retention
Visualization - $55 Per Active User with Enterprise Plugins
Logs, Traces, Profiles - $0.50 Per GB Ingested, 30 Days Retention
IRM - $20 Per Active User
Application Observability - $0.04 Per Host Hour, Pay for Actual Usage, No Peak Billing
Kubernetes Monitoring - $0.015 Per Host Hour, $0.001 Per Container Hour
Frontend Observability - $0.90 Per 1K Sessions
Synthetics - $5 Per 10K Test Executions
k6 Performance Testing - $0.15 Per VUh, 30 Days Retention

Enterprise

Custom

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