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

Ingest node


Prior to Elasticsearch 5.0, if we wanted to pre-process documents before indexing them to Elasticsearch, then the only way was to make use of Logstash or pre-process them programmatically/manually and then index them to Elasticsearch. Elasticsearch lacked the ability to pre-process/transform the documents, and it just indexed the document as they were. However, the introduction of a feature called ingest node in Elasticsearch 5.x onwards provided a lightweight solution for pre-processing and enriching documents within Elasticsearch itself before they are indexed.

If an Elasticsearch node is implemented with the default configuration, by default it would be master, data, and ingest enabled (that is, it would act as a master node, data node, and ingest node). To disable ingest on a node, configure the following setting in the elasticsearch.yml file:

node.ingest: false

The ingest node can be used to pre-process documents before the actual indexing is performed on the document. This...