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
ship, parse, store, and analyze logs.
Youâ€™ll start this course by getting an understanding of what
ElasticSearch is, what itâ€™s used for, and why itâ€™s important. Then,
youâ€™ll be introduced to the new features in ElasticSearch 5.0. Weâ€™ll go
through each of the fundamental concepts of ElasticSearch such as
queries, indices, and aggregation.
Youâ€™ll find out how to add more power to your searches using filters,
ranges, and more. Youâ€™ll also see how ElasticSearch can be used with
the other components of the Elastic Stack such as LogStash, Kibana, and
Beats. Finally, weâ€™ll take a walk through getting ElasticSearch up and
running on the popular logstash Apache web log analysis.
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 the other components of the Elastic Stack such as LogStash, Kibana
and Beats. Finally, weâ€™ll 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 shipper 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.
About The Author
Ethan Anthony is a San Francisco based Data Scientist who specializes in distributed data centric technologies. He is also the Founder of XResults, where the vision is to harness the power of data to innovate and deliver intuitive customer facing solutions, largely to non-technical professionals. Ethan has over 10 combined years of experience in cloud based technologies such as Amazon webservices and OpenStack, as well as the data centric technologies of Hadoop, Mahout, Spark and ElasticSearch. He began using ElasticSearch in 2011 and has since delivered solutions based on the Elastic Stack to a broad range of clientele. Ethan has also consulted worldwide, speaks fluent Mandarin Chinese and is insanely curious about human cognition, as related to cognitive dissonance.