Introduction
  • Lecture 1: Course Overview
  • Lecture 2: Setting up Elasticsearch and Kibana
  • Instructions for Windows Users
  • Dedicated TA Support
  • Lecture 3: Overview of Elasticsearch
Document Management and Analyzers
  • Lecture 4: Indexing, Retrieving and Deleting Documents
  • Lecture 5: Components of an Index
  • Lecture 6: Distributed Execution of Requests
  • Lecture 7: Text Analysis for Indexing and Searching
Defining the Index Structure
  • Lecture 8: Index Settings and Mappings (Part 1)
  • Lecture 9: Index Settings and Mappings (Part 2)
Querying Elasticsearch
  • Follow these instructions before starting Lecture 10
  • Lecture 10: Search DSL Query Context
  • Lecture 11: Search DSL Query Context (Part 2)
  • Lecture 12: Search DSL Filter Context
  • Follow these instructions before watching Lecture 13.
  • Lecture 13: Aggregations DSL (Part 1)
  • Lecture 14: Aggregations DSL (Part 2)
Real World Project with Logstash, Kibana and Filebeat
  • Lecture 15: Download and Configure Logstash
  • Lecture 16: Logstash Overview and Indexing Apache Application Logs
  • Using Logstash for indexing CSV file data
  • Lecture 17: Overview of Kibana Visualizations and Dashboards
  • Lecture 18: More on Kibana Visualizations and Dashboards
  • Lecture 19: Architecting the Elastic Stack
  • Lecture 20: Setting up Filebeat
  • Lecture 21: Using Filebeat with Logstash
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