Book Image

Learning Elastic Stack 6.0

By : Pranav Shukla, Sharath Kumar M N
Book Image

Learning Elastic Stack 6.0

By: Pranav Shukla, Sharath Kumar M N

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 (19 chapters)
Title Page
Credits
Disclaimer
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Summary


In this chapter, we have learnt how to use Elasticsearch to build powerful analytics applications. We have covered how to slice and dice the data to get powerful insight. We started with metric aggregation to deal with numeric datatypes. We then covered bucket aggregation to find out how to slice the data into buckets or segments in order to drill down into specific segments.

We also understood how pipeline aggregations work. We did all of this while dealing with a real-world-like dataset of network traffic data. We have seen how flexible Elasticsearch is as an analytics engine. Without much additional data modelling and extra effort, we can analyze any field, even when the data is on a big data scale. This is a rare capability not offered by many data stores. As you will see in Chapter 7Visualizing Data with Kibana, Kibana leverages many of the aggregations that we learnt about in this chapter.

This concludes the chapters on Elasticsearch, the core of Elastic Stack. We have a very...