Module 1: Introduction
- What is Kibana
- Why Kibana
- How Kibana Differs from other Tools
- Installing and Configuring the Kibana
- Adding Sample data to Kibana
Module 2: Discover
- Creating an Index Pattern
- Searching Data
- Using filter
- Data statistics
Module 3: Visualize
- Types of Visualization
- Aggregation
- Dashboard tools
- Heat Map
Module 4: Dashboard
- Creating/Sharing different types of Dashboard/li>
Module 5: Canvas
- Creating a WorkPad
- Canvas Lifecycle
Module 6: Maps
- Discuss all Layers
- Plot Big Data
- Searching geographic data
- Configure Map settings
Module 7: Machine Learning
- Anomaly detection
- Data frame detection
Module 8: Logs & Uptime
- Log Analysis
- Troubleshooting
Module 9: APM & SIEM
- Setting up the APM
- REST API
- Anomaly Detection with ML
Module 10: Dev Tools
- DSL Query using all filter and Agregation
- Indexing & Re- Indexing
Module 11: Templates Creation
- Indexing the data
- Performing CURD Operation
- Learning all API related Queries
Module 10: Reporting
- Report Configuration
- Report Integration
- Automating Report Generation
Module 12: Alerting and Action
- Defining Alerts
- Action and connector types
- Discuss about alert types
Module 13: Kibana Plugins
- Install, updats, remove, disable plubgins