Tutorial

Kibana Tutorial

A guide to mastering Kibana, the visualization and exploration tool for Elasticsearch data.

Tutorial·Difficulty: Intermediate·14 chapters·Updated Apr 19, 2026

Chapters

About this tutorial

A guide to mastering Kibana, the visualization and exploration tool for Elasticsearch data.

Contents

FileDescription
01-introduction.mdWhat is Kibana, ELK Stack overview, installation
02-getting-started.mdFirst login, interface navigation, basic concepts
03-discover.mdData exploration, search queries, filters
04-visualizations.mdCreating charts, graphs, and visual elements
05-dashboards.mdBuilding, organizing, and sharing dashboards
06-kql.mdKibana Query Language syntax and examples
07-index-patterns.mdManaging index patterns and data views
08-lens.mdDrag-and-drop visualizations with Lens
09-canvas.mdCustom presentations and infographics
10-alerts.mdSetting up alerts, rules, and notifications
11-security.mdUser management, roles, and spaces
12-machine-learning.mdML features and anomaly detection
13-apm.mdApplication Performance Monitoring
14-best-practices.mdTips, optimization, and production readiness

Prerequisites

  • Basic understanding of data and analytics concepts
  • Access to an Elasticsearch instance (or willingness to install locally)
  • Familiarity with web browsers and basic navigation
  • Understanding of JSON format is helpful but not required

Quick Start

# Using Docker (easiest way to get started)
docker pull docker.elastic.co/kibana/kibana:8.11.0
docker network create elastic
docker run --name kibana --net elastic -p 5601:5601 docker.elastic.co/kibana/kibana:8.11.0

# Access Kibana
# Open browser to http://localhost:5601

Why Kibana?

  • Powerful Visualization - Create stunning dashboards from Elasticsearch data
  • Real-time Analytics - Monitor and analyze data as it arrives
  • Easy to Use - Intuitive interface for both beginners and experts
  • Extensible - Rich ecosystem of plugins and integrations
  • Part of Elastic Stack - Integrates directly with Elasticsearch, Logstash, and Beats

Learning Paths

Data Analyst (3-4 days)

  1. Introduction (chapter 1)
  2. Getting Started (2)
  3. Discover & Search (3, 6)
  4. Visualizations & Dashboards (4, 5, 8)
  5. Best Practices (14)

DevOps/SRE (4-5 days)

  1. Introduction & Setup (1, 2)
  2. Data Exploration (3, 6, 7)
  3. Dashboards (5, 8)
  4. Alerts & Monitoring (10)
  5. APM (13)
  6. Best Practices (14)

Security Analyst (4-5 days)

  1. Fundamentals (1-3)
  2. Advanced Querying (6)
  3. Visualizations (4, 5, 8)
  4. Security Features (11)
  5. Alerts (10)
  6. ML for Security (12)

Complete Mastery (2 weeks)

Work through all chapters sequentially, building real-world dashboards and alerts as you go.

Additional Resources

Version Note

This tutorial covers Kibana 8.x (specifically 8.11+). Most concepts also apply to the current Kibana 9.x releases, though some UI elements may differ.