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Learning Elastic Stack 6.0

Learning Elastic Stack 6.0

By : Pranav Shukla, Sharath Kumar
4.5 (10)
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Learning Elastic Stack 6.0

Learning Elastic Stack 6.0

4.5 (10)
By: Pranav Shukla, Sharath Kumar

Overview of this book

The Elastic Stack is a powerful combination of tools for distributed search, analytics, logging, and visualization of data from medium to massive data sets. The newly released Elastic Stack 6.0 brings new features and capabilities that empower users to find unique, actionable insights through these techniques. This book will give you a fundamental understanding of what the stack is all about, and how to use it efficiently to build powerful real-time data processing applications. After a quick overview of the newly introduced features in Elastic Stack 6.0, you’ll learn how to set up the stack by installing the tools, and see their basic configurations. Then it shows you how to use Elasticsearch for distributed searching and analytics, along with Logstash for logging, and Kibana for data visualization. It also demonstrates the creation of custom plugins using Kibana and Beats. You’ll find out about Elastic X-Pack, a useful extension for effective security and monitoring. We also provide useful tips on how to use the Elastic Cloud and deploy the Elastic Stack in production environments. On completing this book, you’ll have a solid foundational knowledge of the basic Elastic Stack functionalities. You’ll also have a good understanding of the role of each component in the stack to solve different data processing problems.
Table of Contents (12 chapters)
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Introducing Beats


Beats are lightweight data shippers that are installed as agents on edge servers to ship operational data to Elasticsearch. Just like Elasticsearch, Logstash, Kibana, and Beats are open source products too. Depending on the use case, Beats can be configured to ship the data to Logstash for transforming the events prior to pushing the events to Elasticsearch. 

The Beats framework is made up of a library called libbeat which provides infrastructure to simplify the process of shipping the operation data to Elasticsearch. It offers the API that all Beats can use to ship data to an output (such as Elasticsearch, Logstash, Redis, Kafka, and so on), configure the input/output options, process the events, implement logging, and more. The Libbeat library is built using the Go programming language. Go was chosen to build Beats because it's easy to learn, very resource friendly, and as it's statically compiled it's easy to deploy.

Elastic.co has built and maintained several Beats such...

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