Course Outline

Introduction

  • What is Elasticsearch and Kibana?
  • Comparison of Elasticsearch and Kibana
  • Overview of Elasticsearch and Kibana features and architecture

Understanding Elasticsearch

  • Architecture of Elasticsearch
  • CRUD operations
  • Index management
  • Query DSL fundamentals
  • Aggregations and metrics
  • Lab exercises

Understanding Kibana

  • Introduction to Kibana
  • Installation and configuration
  • Discover interface
  • Visualization interface
  • Dashboard interface
  • Lab exercises

Advanced Elasticsearch Administration

  • Cluster management
  • Data modeling and mappings
  • Advanced queries and filters
  • Performance tuning and optimization
  • Security and authentication
  • Lab exercises

Advanced Kibana Dashboard Development

  • Design principles for effective dashboards
  • Visualization types and techniques
  • Time series analysis and visualizations
  • Geospatial analysis and mapping
  • Drill-down and interactivity
  • Lab exercises

Troubleshooting and Best Practices

  • Monitoring and logging
  • Diagnosing and resolving common issues
  • Backup and disaster recovery
  • Scaling and high availability
  • Best practices for Elasticsearch and Kibana administration
  • Lab exercises

Summary and Next Steps

Requirements

  • An understanding of Elasticsearch fundamentals
  • Experience with Elasticsearch and Kibana operations
  • Intermediate-level proficiency in system administration

Audience

  • System Administrators
  • DevOps Engineers
  • Developers
 35 Hours

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