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  • Book Overview & Buying Learning ELK Stack
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Learning ELK Stack

Learning ELK Stack

By : Chhajed
3.2 (5)
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Learning ELK Stack

Learning ELK Stack

3.2 (5)
By: Chhajed

Overview of this book

The ELK stack—Elasticsearch, Logstash, and Kibana, is a powerful combination of open source tools. Elasticsearch is for deep search and data analytics. Logstash is for centralized logging, log enrichment, and parsing. Kibana is for powerful and beautiful data visualizations. In short, the Elasticsearch ELK stack makes searching and analyzing data easier than ever before. This book will introduce you to the ELK (Elasticsearch, Logstash, and Kibana) stack, starting by showing you how to set up the stack by installing the tools, and basic configuration. You’ll move on to building a basic data pipeline using the ELK stack. Next, you’ll explore the key features of Logstash and its role in the ELK stack, including creating Logstash plugins, which will enable you to use your own customized plugins. The importance of Elasticsearch and Kibana in the ELK stack is also covered, along with various types of advanced data analysis, and a variety of charts, tables ,and maps. Finally, by the end of the book you will be able to develop full-fledged data pipeline using the ELK stack and have a solid understanding of the role of each of the components.
Table of Contents (12 chapters)
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11
Index

ELK at SCA


SCA is a leading global hygiene and forest products company. The SCA group companies develop and produce sustainable personal care, tissue, and forest products. As we can see at https://www.elastic.co/blog/improving-user-intelligence-with-the-elk-stack-at-sca:

"At SCA we use Elasticsearch, Logstash, and Kibana to record searches, clicks on result documents and user feedback, on both the intranet and external sites. We also collect qualitative metrics by asking our public users a question after showing search results: "Did you find what you were looking for?" The user has the option to give a thumbs up or down and also write a comment."

How is ELK used in SCA?

All search parameters and results information are recorded for each search event: the query string, paging, sorting, facets, the number of hits, search response time, the date and time of the search, and so on. Clicking a result document also records a multitude of information: the position of the document in the result list...

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Learning ELK Stack
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