Grafana for Beginners

Introduction 🎉

1. What is Grafana? 🧐

   • Overview of Grafana
   • Use cases and benefits
   • Overview of Grafana’s ecosystem

2. Course Objectives 🎯

   • What you’ll learn
   • Course structure

Module 1: Getting Started with Grafana 🚀

1. Installing Grafana 🛠️

   • Installation on different platforms (Linux, Windows, Docker)
   • Configuring basic settings
   • Verifying installation

2. Understanding the Grafana Interface 🖥️

   • Dashboard overview
   • Main navigation elements
   • Panels and data sources

Module 2: Data Sources and Integrations 🔌

1. Adding and Configuring Data Sources 💾

   • Supported data sources (Prometheus, InfluxDB, Elasticsearch, etc.)
   • Adding a data source
   • Configuring data source settings

2. Basic Data Source Queries 📝

   • Writing simple queries
   • Visualizing data

Module 3: Creating Dashboards 📈

1. Introduction to Dashboards 🗂️

   • What is a dashboard?
   • Key components of a dashboard

2. Creating Your First Dashboard 🛠️

   • Adding panels
   • Configuring panel settings
   • Adding and arranging panels

3. Using Variables 🔢

   • Introduction to variables
   • Creating and using variables in dashboards

Module 4: Visualizations and Panels 🎨

1. Understanding Panel Types 📊

   • Different types of panels (Graph, Table, Gauge, etc.)
   • When to use each panel type

2. Customizing Visualizations ✨

   • Panel settings and options
   • Using Grafana’s built-in visualizations
   • Customizing colors, legends, and axes

3. Alerts and Notifications 🚨

   • Setting up alerts
   • Configuring alert notifications

Module 5: Advanced Features 🔍

1. Using Annotations 🖋️

   • What are annotations?
   • Adding and managing annotations

2. Dashboard Sharing and Permissions 🔒

   • Sharing dashboards with others
   • Setting up user permissions and roles

3. Grafana Plugins and Extensions 🧩

   • Exploring Grafana plugins
   • Installing and managing plugins

Module 6: Troubleshooting and Best Practices 🛠️

1. Common Issues and Troubleshooting 🚧

   • Troubleshooting data source issues
   • Resolving common dashboard problems

2. Best Practices 🌟

   • Designing effective dashboards
   • Organizing and managing dashboards

Conclusion 🎓

1. Review of Key Concepts 📚

   • Recap of what you’ve learned
   • Practical applications

2. Next Steps ⏭️

   • Further learning resources
   • Advanced topics to explore

3. Q&A and Course Wrap-Up 🤔

   • Questions and answers
   • Course summary