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Learning Elastic Stack 6.0

You're reading from   Learning Elastic Stack 6.0 A beginner's guide to distributed search, analytics, and visualization using Elasticsearch, Logstash and Kibana

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781787281868
Length 434 pages
Edition 1st Edition
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Authors (2):
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Sharath Kumar Sharath Kumar
Author Profile Icon Sharath Kumar
Sharath Kumar
Pranav Shukla Pranav Shukla
Author Profile Icon Pranav Shukla
Pranav Shukla
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Toc

Table of Contents (12) Chapters Close

Preface 1. Introducing Elastic Stack FREE CHAPTER 2. Getting Started with Elasticsearch 3. Searching-What is Relevant 4. Analytics with Elasticsearch 5. Analyzing Log Data 6. Building Data Pipelines with Logstash 7. Visualizing data with Kibana 8. Elastic X-Pack 9. Running Elastic Stack in Production 10. Building a Sensor Data Analytics Application 11. Monitoring Server Infrastructure

Using the Kibana Console UI


Before we start writing our first queries to interact with Elasticsearch, we should familiarize ourselves with a very important tool: Kibana Console. This is important because Elasticsearch has a very rich REST API, allowing you to do all possible operations with Elasticsearch. Kibana Console has an editor which is very capable and aware of the REST API. It allows for auto-completion, and for the formatting of queries as you write them.

Note

What is a REST API? REST stands for Representational State Transfer. It is an architectural style to make systems inter-operate and interact with each other. REST has evolved along with the HTTP protocol, and almost all REST-based systems use HTTP as their protocol. HTTP supports different methods including GET, POST, PUT, DELETE, HEAD, and so on, which are used for different semantics. For example, GET is used for getting or searching for something. POST is used for creating a new resource, PUT may be used for creating or updating...

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