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Elasticsearch 8.x Cookbook

You're reading from   Elasticsearch 8.x Cookbook Over 180 recipes to perform fast, scalable, and reliable searches for your enterprise

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Product type Paperback
Published in May 2022
Publisher Packt
ISBN-13 9781801079815
Length 750 pages
Edition 5th Edition
Languages
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Author (1):
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Alberto Paro Alberto Paro
Author Profile Icon Alberto Paro
Alberto Paro
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Table of Contents (20) Chapters Close

Preface 1. Chapter 1: Getting Started 2. Chapter 2: Managing Mappings FREE CHAPTER 3. Chapter 3: Basic Operations 4. Chapter 4: Exploring Search Capabilities 5. Chapter 5: Text and Numeric Queries 6. Chapter 6: Relationships and Geo Queries 7. Chapter 7: Aggregations 8. Chapter 8: Scripting in Elasticsearch 9. Chapter 9: Managing Clusters 10. Chapter 10: Backups and Restoring Data 11. Chapter 11: User Interfaces 12. Chapter 12: Using the Ingest Module 13. Chapter 13: Java Integration 14. Chapter 14: Scala Integration 15. Chapter 15: Python Integration 16. Chapter 16: Plugin Development 17. Chapter 17: Big Data Integration 18. Chapter 18: X-Pack 19. Other Books You May Enjoy

Chapter 11: User Interfaces

In an Elasticsearch ecosystem, it can be immensely useful to monitor nodes and clusters in order to manage and improve their performance and state.

Detecting malfunction or bad performance can be done through the API or through some frontends that are designed to be used in Elasticsearch.

Some of the frontends introduced in this chapter will allow you to have a working web dashboard in your Elasticsearch data; these work by monitoring cluster health, backing up or restoring your data, and allowing test queries before implementing them in the code. In this chapter, we will only briefly examine these frontends; this is due to their complexity and the large number of features, which are beyond the scope of this book. For an in-depth description, I suggest that you have a look at the official documentation of Kibana, which is available at https://www.elastic.co/guide/en/kibana/current/index.html.

In this chapter, we will explore some aspects of Kibana...

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