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Learning Elasticsearch

You're reading from   Learning Elasticsearch Structured and unstructured data using distributed real-time search and analytics

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787128453
Length 404 pages
Edition 1st Edition
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Author (1):
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Abhishek Andhavarapu Abhishek Andhavarapu
Author Profile Icon Abhishek Andhavarapu
Abhishek Andhavarapu
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Table of Contents (11) Chapters Close

Preface 1. Introduction to Elasticsearch FREE CHAPTER 2. Setting Up Elasticsearch and Kibana 3. Modeling Your Data and Document Relations 4. Indexing and Updating Your Data 5. Organizing Your Data and Bulk Data Ingestion 6. All About Search 7. More Than a Search Engine (Geofilters, Autocomplete, and More) 8. How to Slice and Dice Your Data Using Aggregations 9. Production and Beyond 10. Exploring Elastic Stack (Elastic Cloud, Security, Graph, and Alerting)

Production and Beyond

This chapter is a flight checklist before going to production. You’ll learn about some important Elasticsearch metrics to monitor once you are in production. Since Elasticsearch is an open source, there are a lot of configurable settings. You’ll learn about some of the most important settings and how to tailor them to your needs. You'll also learn how to install X-Pack and use the monitoring feature of X-Pack.

In this chapter, we will cover the following topics:

  • Configuration
  • Cluster API
  • Monitoring
  • X-Pack
  • Thread Pools
  • Elasticsearch server logs
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