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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

Chapter 2. Building Your First Data Pipeline with ELK

In the previous chapter, we got familiar with each component of ELK Stack—Elasticsearch, Logstash, and Kibana. We got the components installed and configured. In this chapter, we will build our first basic data pipeline using ELK Stack. This will help us understand how easy it is to get together the components of ELK Stack to build an end-to-end analytics pipeline.

While running the example in this chapter, we assume that you already installed Elasticsearch, Logstash, and Kibana as described in Chapter 1, Introduction to ELK Stack.

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