Learning ElasticSearch 5.0

This course is a step-by-step guide to using Elasticsearch in combination with the rest of the ELK stack (now called Elastic Stack) to send, parse, store, and analyze logs. 

You will start this course by getting an understanding of what ElasticSearch is, what it’s used for, and why it’s important. Then, you’ll be introduced to the new features in ElasticSearch 5.0. We will go through each of the basic concepts of ElasticSearch such as queries, indices, and aggregation. 

You’ll find out how to add more power to your searches using filters, ranges, and more. You’ll also see how ElasticSearch can be used with other components of the Elastic Stack such as LogStash, Kibana, and Beats. Finally, we will take a walk through ElasticSearch up and running on the popular Apache web log analysis logstash.

Aside from learning how to add more power to your searches with filters, ranges, and more, you’ll also see how ElasticSearch can be used with other components of the Elastic Stack such as LogStash, Kibana and Beats. Finally, we will build, test and run our first Logstash pipeline to analyze Apache web logs. This step combines all the understanding of ElasticSearch, Logstash, Kibana and the lightweight data sender FileBeat that we acquired from previous sections. 

By the end of this course, you will have a firm understanding of all the fundamentals of ElasticSearch 5.0, along with knowledge of practical real world usage.