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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

Kibana anatomy

In this section, I'll present the different sections present in Kibana 5.0, without necessarily diving into them, as we are going to do this later in the chapters dedicated to logging, metrics, and graphs.

First, connect to https://localhost:5601, log in with the default elastic / changeme, and let's see what the Kibana menu is composed of:

Kibana anatomy

Kibana menu

The Kibana menu contains two types of sections:

Links to Kibana core features: Discover, Visualize, Dashboard, and Console
Links to Kibana plugins: Timelion, Graph, Monitoring, the elastic user, and Logout

Before we start, let's go into a common Kibana user experience:

Kibana anatomy

Kibana user experience

Since Kibana 5.0, the user can have a seamless experience, from ingestion to visualization, all from Kibana itself:

If the user doesn't have data yet, he can import it using the CSV importer (only available in Kibana alpha version; has been removed in 5.0 GA).
If the data already exists in Elasticsearch, the user needs to...

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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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