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Grafana
Observability & SREBeginner

Grafana

The dashboarding tool the entire industry agrees on. Beautiful, fast, and free.

Why it matters

What is Grafana, really?

Grafana is the visualization layer for almost every metrics + logs + traces stack. It plugs into 60+ data sources (Prometheus, Loki, Tempo, CloudWatch, Datadog, Elasticsearch, PostgreSQL, anything) and turns them into dashboards your engineers and execs both actually look at.

Grafana Labs has expanded the product into a full LGTM stack — Loki (logs), Grafana (dashboards), Tempo (traces), Mimir (long-term metrics). In 2026, knowing Grafana well = knowing the modern observability stack.

At Cloudadhar we teach Grafana for what matters in production: dashboards-as-code (provisioning via Git), templating + variables for reusable dashboards, alerting rules, and the LGTM stack for end-to-end observability.

What makes it special

  • 60+ data source plugins — connect anything that holds data
  • Beautiful, fast, dark-mode-first UI that engineers actually like
  • Dashboards-as-code via JSON / Jsonnet / Grafonnet, versioned in Git
  • Unified alerting (Grafana 9+) — one alerting UI across all data sources
  • Free + open-source core; Grafana Cloud for managed hosting

When you should reach for it

  • You use Prometheus (Grafana is the visualization half)
  • You want one dashboard tool across multiple data sources
  • You need to give business stakeholders self-service dashboards
  • You're building a status / SRE dashboard for an on-call team
  • You want to provision dashboards from Git (no manual UI clicks)
From the trenches

A real Grafana story from production

We replaced a $14k/month Datadog bill with a self-hosted Prometheus + Grafana + Loki stack on a $400/month EKS workload. The migration took 2 engineers 6 weeks. The dashboards were arguably better than what we had on Datadog because we owned them and could shape them to our actual workflows. ROI in month 1.

— Gangadhar, 12+ yrs in production cloud

Your roadmap

How to actually learn Grafana

  1. 1Install Grafana (or use the kube-prometheus-stack Helm chart)
  2. 2Connect Prometheus as a data source + build your first dashboard
  3. 3Use template variables ($cluster, $namespace, $app) for reusability
  4. 4Switch dashboards from UI-managed to JSON-provisioned (Git-tracked)
  5. 5Configure unified alerting + route to Slack / PagerDuty
  6. 6Add Loki for logs + Tempo for traces — full LGTM stack
Done reading?

Want to learn Grafana production-style?

Live batches, 1:1 mentorship, hands-on labs in a real cloud account. No slideware. No fluff. Just the playbooks I use as a DevSecOps Lead.

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