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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

Getting started with Metricbeat

In this part we'll go through the installation of Metricbeat, and start shipping data to Elasticsearch.

Metricbeat installation

Installing Metricbeat is as easy as decompressing a TAR file. First, download it at https://www.elastic.co/downloads/beats/metricbeat:

In my case, I'm downloading 5.0.0-alpha5 (the current version at the time of writing) and the Mac archive, and uncompressing the TAR file:

tar -zxvf metricbeat-5.0.0-darwin-x86_64.tar.gz

You should get the following directory structure:

MacBook-Pro-de-Bahaaldine:metricbeat-5.0.0 bahaaldine$ pwd
/elastic/metricbeat-5.0.0
MacBook-Pro-de-Bahaaldine:metricbeat-5.0.0 bahaaldine$ ls
total 23528
scripts
metricbeat.yml
metricbeat.template.json
metricbeat.template-es2x.json
metricbeat.full.yml
metricbeat

At this point, Metricbeat is installed and needs to be configured to fit your environment settings.

Configuring and running Metricbeat

Metricbeat's configuration is stored in the Metricbeat.yml file. It's composed...

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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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