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Learning Kibana 5.0

You're reading from Learning Kibana 5.0 Exploit the visualization capabilities of Kibana and build powerful interactive dashboards

Product type Paperback

Published in Feb 2017

Publisher Packt

ISBN-13 9781786463005

Length 284 pages

Edition 1st Edition

Languages

Java

Tools

Elasticsearch

Concepts

Data Visualization

Author (1):

Bahaaldine Azarmi

View More author details

Table of Contents (10) Chapters

Preface

1. Introduction to Data-Driven Architecture

2. Installing and Setting Up Kibana 5.0 FREE CHAPTER

3. Business Analytics with Kibana 5.0

4. Logging Analytics with Kibana 5.0

5. Metric Analytics with Metricbeat and Kibana 5.0

6. Graph Exploration in Kibana

7. Customizing Kibana 5.0 Timelion

8. Anomaly Detection in Kibana 5.0

9. Creating a Custom Plugin for Kibana 5.0

Chapter 2. Installing and Setting Up Kibana 5.0

In this chapter, we'll go through all the installation steps required to use Kibana. At the time of writing, version 5.0 has not yet been released; however, Elastic's terrific R&D team will bring to the user a pre-release of the major version in the form of an alpha or beta version. Therefore, I'm able to use the 5.0.0-alpha4 version to illustrate the majority of what you will get in 5.0.

Setting up Kibana 5.0 also requires that you set up Elasticsearch as well, configuring security in order to integrate Elasticsearch and Kibana, as shown in the following diagram:

Installing and Setting Up Kibana 5.0

Kibana and Elasticsearch integration

You have been reading a chapter from

Learning Kibana 5.0

Published in: Feb 2017

Publisher: Packt

ISBN-13: 9781786463005

© 2017 Packt Publishing Limited All Rights Reserved

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Authors (1)

Bahaaldine Azarmi

Bahaaldine Azarmi

Bahaaldine Azarmi, or Baha for short, is the head of solutions architecture in the EMEA South region at Elastic. Prior to this position, Baha co-founded ReachFive, a marketing data platform focused on user behavior and social analytics. He has also worked for a number of different software vendors, including Talend and Oracle, where he held positions as a solutions architect and architect. Prior to Machine Learning with the Elastic Stack, Baha authored books including Learning Kibana 5.0, Scalable Big Data Architecture, and Talend for Big Data. He is based in Paris and holds an MSc in computer science from Polytech'Paris.

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