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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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Analyzing Log Data

Logs contain rich information about the state and behavior of a system or an application. Each system/application generates the logs whenever an event occurs, and the frequency, amount of information, and format of the information it logs varies from one system/application to another. With so much information at our disposal, collecting them, extracting the relevant information from them, and analyzing them in near real time can be a daunting task.

In the previous chapters, we have already explored how Elasticsearch, with its rich aggregation features, assists in analyzing huge amounts of data in near real time. Before analysis can be performed, we need a tool which can assist/ease the process of collecting logs, extracting the relevant information from them, and pushing them to Elasticsearch.

In this chapter, we will be exploring Logstash...

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