Elasticsearch (7.5, 7.12.0) Logstash & Kibana Stack Tutorial

About this course

This Course is divided into Eight Major sections--For first time user (basic)--1) Author Introduction and Course Description2) Introduction of complete ELK stack and different types of beats with internals of Elasticsearch and Lucene Indexing.   -- Usage of Elasticsearch   -- Usage of Logstash and FileBeat and when to use what   -- Usage of Kibana   -- And most interesting, Internals of Elasticsearch Indexing.3) Installation of Elastic search and Kibana on Windows server. Also upgrade to Elasticsearch 7.12.0 while selecting from archival versions.(Future Plan): Installation of Elastic search and Kibana on Linux ServerFor Advance User4) Data Ingestion from Mysql, Oracle, Apache, Rest API, & Nginx logs using Logstash & Filebeat with live examples.5) Kibana for data visualization and dashboard (creation,monitoring & sharing) + Metricbeat + WinlogBeat (Installation, Data Ingestion and Dashboard Management)6) DSL, Aggregation and Tokenizer Queries- with creating tokens for analyzing English and Hindi Language  -- When querying NoSql DB Elasticsearch what all means and methods to have via DSL.          How if you want to prioritize on any condition like distance from search ?  -- Inbuild functions via Aggregation  -- Searching in Different Languages via tokenizers.In English you have, "How are you? Is it all good. Looking little upset today"But in Hindi same will be, "आप कैसे हैं? क्या यह सब अच्छा है। आज थोड़ा परेशान दिख रहे हैं"so the whole logic comes in tokenization to identify potential diffeences. Future Plan7) Cluster Setting8) Role Security and  Monitoring

Course objectives

• introduce the ELK stack and its use cases
• guide users through installation processes
• demonstrate data ingestion techniques
• explain advanced features like role security and cluster settings