Book Image

Mastering Elasticsearch 5.x - Third Edition

Book Image

Mastering Elasticsearch 5.x - Third Edition

Overview of this book

Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, and open source search and analytics engine. Elasticsearch leverages the capabilities of Apache Lucene, and provides a new level of control over how you can index and search even huge sets of data. This book will give you a brief recap of the basics and also introduce you to the new features of Elasticsearch 5. We will guide you through the intermediate and advanced functionalities of Elasticsearch, such as querying, indexing, searching, and modifying data. We’ll also explore advanced concepts, including aggregation, index control, sharding, replication, and clustering. We’ll show you the modules of monitoring and administration available in Elasticsearch, and will also cover backup and recovery. You will get an understanding of how you can scale your Elasticsearch cluster to contextualize it and improve its performance. We’ll also show you how you can create your own analysis plugin in Elasticsearch. By the end of the book, you will have all the knowledge necessary to master Elasticsearch and put it to efficient use.
Table of Contents (20 chapters)
Mastering Elasticsearch 5.x - Third Edition
Credits
About the Author
Acknowledgements
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Chapter 12.  Introducing Elastic Stack 5.0

In the last chapter, we learned about developing custom plugins for Elasticsearch. We started with an overview of Apache Maven and its components and then created two plugins. The first plugin was a custom REST action plugin for creating our own REST endpoints inside Elasticsearch and the second plugin for creating a custom analyzer.

In this chapter, which is going to be the last chapter of this book, we are going to cover an overview of Elastic Stack. By the end of this chapter, we will have covered the following topics:

  • Overview of Elastic Stack 5.0

  • Installing and configuring Logstash, Beats, and Kibana

  • Shipping data inside Elasticsearch with the help of Logstash

  • Using Beats as lightweight data shippers

  • Using Kibana for data exploration and visualization