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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 FREE CHAPTER

2. Installing and Setting Up Kibana 5.0

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

Setting up your installation

In this section, we'll download and install Elasticsearch, Kibana, and the X-Pack.

Downloading the software

Downloading the binaries is pretty straightforward; you just need to get on the Elastic website on the following pages:

For Elasticsearch: https://www.elastic.co/downloads/elasticsearch. On this page, you will find the current GA version, which might be a 5.x by the time you read this book. In my case, I'll download 5.0.0-alpha4:

Elasticsearch 5.0.0-alpha4 download page
For Kibana: https://www.elastic.co/downloads/kibana. As for Elasticsearch, I'm going to download 5.0.0-alpha4:

Kibana 5.0.0-alpha4 download page

I recommend that you move the downloaded file to the same folder. In my case, I've moved everything to the /Users/Bahaaldine/packt folder:

pc55:packt bahaaldine$ pwd
/Users/bahaaldine/packt
pc55:packt bahaaldine$ ls
elasticsearch-5.0.0-alpha4.tar.gz  kibana-5.0.0-alpha4-darwin-
      x64.tar.gz

You can now proceed to both...

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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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