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Setting Up Elasticsearch and Kibana

In this chapter, we will discuss how to set up Elasticsearch and Kibana. We will first install Elasticsearch as a single-node cluster and then install Kibana. Running Elasticsearch is very easy as it can be started without any configuration; it is designed to run out of the box. Once we have Elasticsearch up and running, we will go through various APIs that are available to gauge the health of the cluster. By the end of this chapter, we will have covered the following:

Installing Elasticsearch
Installing Kibana
Kibana Dev Tools
HTTP clients
Monitoring cluster health

Key benefits

Get to grips with the basics of Elasticsearch concepts and its APIs, and use them to create efficient applications

Create large-scale Elasticsearch clusters and perform analytics using aggregation

This comprehensive guide will get you up and running with Elasticsearch 5.x in no time

Description

Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, and open source search and analytics engine. You can use Elasticsearch for small or large applications with billions of documents. It is built to scale horizontally and can handle both structured and unstructured data. Packed with easy-to- follow examples, this book will ensure you will have a firm understanding of the basics of Elasticsearch and know how to utilize its capabilities efficiently. You will install and set up Elasticsearch and Kibana, and handle documents using the Distributed Document Store. You will see how to query, search, and index your data, and perform aggregation-based analytics with ease. You will see how to use Kibana to explore and visualize your data. Further on, you will learn to handle document relationships, work with geospatial data, and much more, with this easy-to-follow guide. Finally, you will see how you can set up and scale your Elasticsearch clusters in production environments.

What you will learn

See how to set up and configure Elasticsearch and Kibana

Know how to ingest structured and unstructured data using Elasticsearch

Understand how a search engine works and the concepts of relevance and scoring

Find out how to query Elasticsearch with a high degree of performance and scalability

Improve the user experience by using autocomplete, geolocation queries, and much more

See how to slice and dice your data using Elasticsearch aggregations.

Grasp how to use Kibana to explore and visualize your data

Know how to host on Elastic Cloud and how to use the latest X-Pack features such as Graph and Alerting

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Instant access to your digital eBook copy whilst your Print order is Shipped

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Ravikanth Dec 11, 2017

When Abhishek called me after he almost finished writing his book on elastic search he had a thought that bothered him. Is there a necessity for another book where are so many other experts who wrote books on elastic search?The language “C” was created by Dennis Ritchie but his book is not the most used or referred book in C. Creating something and making something approachable are two different skills.Abhishek has made the book very approachable. I haven’t read the book entirely but I have already used it(If you are an architect or a developer you know that it is a good sign). The book is very hands-on and gives you the right amount of theory for you to make your technological choices. When we approach a new technology we want the stack up and running as soon as possible so that you can play around with it and test the things you want to test. The theory becomes important for you to make long-term choices. The book plays really well on the first count and reasonably well on the second one.If you are planning to use Dynamodb in your architecture you will find that elastic search becomes a necessity because of the limitation of querying capabilities in Dynamodb. If you are moving in that direction get this book, you will most likely need it.There is one missing chapter Abhishek should consider adding and that is about analyzers. Everybody needs to add some twist to the default search capabilities provided by elastic search. Just giving exposure helps people walk that road with ease.There were two times when I had to ask him personally about a couple of questions. One of which is an email and other one was a short phone call to verify if the architecture in my mind was right. The phone call was because I did not read enough of the book at that time.Full-Disclosure - Abhishek is my cousin whom I know since his birth and hence I have a vested interest in his success. That does not mean anything I wrote so far is inaccurate.@Abhishek - You did not send a free copy to me. I had to buy it just like everyone else(from packtpub). I am going to remember this :P

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Jim O'Quinn Jan 27, 2018

Why didn't you put the Elasticsearch version on the cover page of your book? In the description here on Amazon?I hope it covers 6.X otherwise I'm returning it.

J. Franks Nov 24, 2018

I worked my way through this on a camping trip and now use it regularly when I need to reindex etc. I don't use ElasticSearch every day but do need to work out queries or fix problems from time to time, and it's a great book to have on kindle - the online docs and/or google just aren't as good at helping solve problems. This gets it done.4 stars; it's a workman-like book, there are places where it could go further, but still, I wouldn't be without it.

Mike A. May 05, 2018

IMO, he just brushes over the more complex issues. Will need to do more digging.

Learning Elasticsearch: Structured and unstructured data using distributed real-time search and analytics

What do you get with Print?

Learning Elasticsearch

Setting Up Elasticsearch and Kibana

Installing Elasticsearch

Installing Java

Installing Kibana

Mac OS X

Query format used in this book (Kibana Console)

Using cURL or Postman

Health of the cluster

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