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

Product type Paperback

Published in Jun 2017

Publisher Packt

ISBN-13 9781787128453

Length 404 pages

Edition 1st Edition

Tools

Elasticsearch

Concepts

Enterprise Search

Author (1):

Abhishek Andhavarapu

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Table of Contents (11) Chapters

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)

Summary

In this chapter, we discussed the most important settings to be configured before going to production. You learned about various cluster management APIs to monitor the status of the cluster. We discussed how to use X-Pack monitoring to watch for the important metrics, such as CPU, memory, and so on.

In the next chapter, we will talk about X-Pack premium features, such as graph which can be used to discover relations in your data and alerting which allows you to set up alerts and notifications.

The rest of the chapter is locked

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Authors (1)

Andhavarapu

Abhishek Andhavarapu is a software engineer at eBay who enjoys working on highly scalable distributed systems. He has a master's degree in Distributed Computing and has worked on multiple enterprise Elasticsearch applications, which are currently serving hundreds of millions of requests per day. He began his journey with Elasticsearch in 2012 to build an analytics engine to power dashboards and quickly realized that Elasticsearch is like nothing out there for search and analytics. He has been a strong advocate since then and wrote this book to share the practical knowledge he gained along the way.

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