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Learning Kibana 5.0
Learning Kibana 5.0

Learning Kibana 5.0: Exploit the visualization capabilities of Kibana and build powerful interactive dashboards

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Learning 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

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:

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...

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...

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.

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Key benefits

  • Introduction to data-driven architecture and the Elastic stack
  • Build effective dashboards for data visualization and explore datasets with Elastic Graph
  • A comprehensive guide to learning scalable data visualization techniques in Kibana

Description

Kibana is an open source data visualization platform that allows you to interact with your data through stunning, powerful graphics. Its simple, browser-based interface enables you to quickly create and share dynamic dashboards that display changes to Elasticsearch queries in real time. In this book, you’ll learn how to use the Elastic stack on top of a data architecture to visualize data in real time. All data architectures have different requirements and expectations when it comes to visualizing the data, whether it’s logging analytics, metrics, business analytics, graph analytics, or scaling them as per your business requirements. This book will help you master Elastic visualization tools and adapt them to the requirements of your project. You will start by learning how to use the basic visualization features of Kibana 5. Then you will be shown how to implement a pure metric analytics architecture and visualize it using Timelion, a very recent and trendy feature of the Elastic stack. You will learn how to correlate data using the brand-new Graph visualization and build relationships between documents. Finally, you will be familiarized with the setup of a Kibana development environment so that you can build a custom Kibana plugin. By the end of this book you will have all the information needed to take your Elastic stack skills to a new level of data visualization.

Who is this book for?

If you are a developer, data visualization engineer, or data scientist who wants to get the best of data visualization at scale then this book is perfect for you. A basic understanding of Elasticsearch and Logstash is required to make the best use of this book.

What you will learn

  • How to create visualizations in Kibana
  • Ingest log data, structure an Elasticsearch cluster, and create visualization assets in Kibana
  • Embed Kibana visualization on web pages
  • Scaffold, develop, and deploy new Kibana & Timelion customizations
  • Build a metrics dashboard in Timelion based on time series data
  • Use the Graph plugin visualization feature and leverage a graph query
  • Create, implement, package, and deploy a new custom plugin
  • Use Prelert to solve anomaly detection challenges

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Feb 15, 2017
Length: 284 pages
Edition : 1st
Language : English
ISBN-13 : 9781786465795
Vendor :
Elastic
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Tools :

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Product Details

Publication date : Feb 15, 2017
Length: 284 pages
Edition : 1st
Language : English
ISBN-13 : 9781786465795
Vendor :
Elastic
Category :
Languages :
Tools :

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Table of Contents

9 Chapters
1. Introduction to Data-Driven Architecture Chevron down icon Chevron up icon
2. Installing and Setting Up Kibana 5.0 Chevron down icon Chevron up icon
3. Business Analytics with Kibana 5.0 Chevron down icon Chevron up icon
4. Logging Analytics with Kibana 5.0 Chevron down icon Chevron up icon
5. Metric Analytics with Metricbeat and Kibana 5.0 Chevron down icon Chevron up icon
6. Graph Exploration in Kibana Chevron down icon Chevron up icon
7. Customizing Kibana 5.0 Timelion Chevron down icon Chevron up icon
8. Anomaly Detection in Kibana 5.0 Chevron down icon Chevron up icon
9. Creating a Custom Plugin for Kibana 5.0 Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.5
(2 Ratings)
5 star 0%
4 star 50%
3 star 50%
2 star 0%
1 star 0%
RK Apr 16, 2017
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
This is a good book for those just getting started with kibana or want to fill in basic knowledge gaps. Would've liked more information on Timelion and any information on tile maps as the online information is rather slim on details. Worth the read!
Amazon Verified review Amazon
Rajeev Goel Sep 25, 2017
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
Not satsfied
Amazon Verified review Amazon
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