Monitoring

What is Grafana, and How to Deploy It in an Enterprise Data Stack?

Last updated on
May 11, 2026

What is Grafana?

Grafana is an open-source monitoring and visualization platform that allows users to easily create and share dashboards, alerts, and panels for various data sources. It supports a wide range of data sources, including Prometheus, Graphite, Elasticsearch, and InfluxDB, and can be used for monitoring and analyzing various metrics such as system performance, application metrics, and log data.

Watch Grafana in action

Why is Grafana better on Shakudo?

Grafana Knowledge Base

Overview

Grafana is a visualization and observability platform for dashboards, metrics, logs, alerts, and operational monitoring.

In a Shakudo environment, Grafana is the main observability UI. It connects to Prometheus, Loki, PostgreSQL, and other data sources so customers can monitor platform health, application status, and business or operational metrics.

This page is written for onboarding and deployment calls. It focuses on what customers need to understand, provide, validate, and troubleshoot in a real environment.

Where it fits in the stack

  • Primary role: Grafana provides a reusable platform capability rather than a one-off application.
  • Typical deployment model: Kubernetes + Helm, with customer-specific values and secrets.
  • Typical access model: private internal endpoint or customer-approved external route.
  • Typical support model: validate deployment health first, then validate user workflow and integrations.

Getting Started

Start with one safe workflow in Grafana before enabling production usage. The goal is to prove connectivity, permissions, and operational ownership.

What the customer needs to provide

  • data sources such as Prometheus, Loki, Postgres, or cloud monitoring endpoints
  • admin credential or SSO/OIDC setup
  • dashboard JSON files or dashboard requirements
  • alert routing details such as email, Slack, PagerDuty, or webhook
  • domain/TLS route for customer access

First workflow

  • Log in to Grafana
  • Confirm data sources are healthy from Connections > Data sources
  • Import or create the first dashboard
  • Set the dashboard time range to match the data
  • Validate each panel query in Explore
  • Create alerts only after dashboard panels are confirmed

Administration and Best Practices

Use these practices to keep Grafana reliable after the initial deployment.

  • Keep dashboard JSON in version control when dashboards are customer-critical
  • Use folders and permissions to separate platform, app, and customer dashboards
  • Validate datasource health after any credential or network change
  • For SQL panels, test queries directly in Explore before editing dashboard JSON
  • Use alert thresholds that customers understand, not only raw infrastructure metrics
  • Back up Grafana database or provision dashboards/datasources declaratively

Troubleshooting & FAQ

Use this section during customer debugging calls. Format: Problem → What to check → Fix.

Dashboard shows No data

  • What to check: Check datasource health, query time range, variables, and panel query output in Explore
  • Fix: Fix the datasource or query first; only then adjust panel visualization settings

Datasource is not visible

  • What to check: Check datasource provisioning config, Grafana logs, and org/user permissions
  • Fix: Reload provisioning or add the datasource through the admin UI

Login fails

  • What to check: Check admin secret, SSO settings, and whether basic login is enabled
  • Fix: Reset admin password or correct the SSO redirect configuration

Alerts do not fire

  • What to check: Check alert rule state, evaluation interval, contact point, and notification policy
  • Fix: Use Test contact point, then trigger a controlled threshold breach

Why is Grafana better on Shakudo?

Why is Grafana better on Shakudo?

Core Shakudo Features

Own Your AI

Keep data sovereign, protect IP, and avoid vendor lock-in with infra-agnostic deployments.

Faster Time-to-Value

Pre-built templates and automated DevOps accelerate time-to-value.
integrate

Flexible with Experts

Operating system and dedicated support ensure seamless adoption of the latest and greatest tools.
See Shakudo in Action
Neal Gilmore
Get Started >