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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

Summary

So far, we have looked at an example of the theory behind data-driven architecture in which Elasticsearch and Kibana play a key role: first at the storage layer, and second for the visualization section.

We also installed and set up Elasticstack, and walked through the different core and plugin components.

In the following chapters, we'll start implementing real-life use cases, starting with the logging use case, using accidentology data to try to understand the patterns of accidents that happen in Paris.

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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