Kibana Essentials电子书

Kibana Essentials

Table of Contents

Kibana Essentials

Credits

About the Author

Acknowledgments

About the Reviewers

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Free access for Packt account holders

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Downloading the color images of this book

Errata

Piracy

Questions

1. An Introduction to Kibana

Understanding Elasticsearch

The basic concepts of Elasticsearch

Prerequisites for installing Kibana 4.1.1

Installation of Java

Installation of Java on Ubuntu 14.04

Installation of Java on Windows

Installation of Elasticsearch

Installation of Elasticsearch on Ubuntu 14.04

Installation of Elasticsearch on Windows

Installation of GIT

Installation of Kibana

Installation of Kibana on Ubuntu 14.04

Installation of Kibana on Windows

Additional information

Changing the Elasticsearch configuration

Changing the Kibana configuration

Importing a JSON file into Elasticsearch

Installation of npm

Installation of npm on Ubuntu 14.04

Installation of npm on Windows

Installing elasticdump

Installing elasticdump on Ubuntu 14.04

Installing elasticdump on Windows

Summary

2. Exploring the Discover Page

Understanding the time filter

Setting the time filter

The Auto-refresh page

Understanding the toolbar

Using the search bar

New Search

Save Search

Load Saved Search

Understanding the Fields list

View field data information

Filtering by field

Functionalities of filters

The Enable filter

The Disable filter

The Pin filter

The Unpin filter

The Invert filter

The Toggle filter

The Remove filter

Understanding document data

Add a field to document data

Remove a field from document data

View data

Sorting documents

Moving fields in document data

Summary

3. Exploring the Visualize Page

Understanding aggregations

Bucket aggregations

Date histogram

Histogram

Range

Date range

IPv4 range

Terms

Filters

Significant terms

GeoHash

Metric aggregations

Count

Sum

Average

Min

Max

Unique count

Percentile

Percentile ranks

Steps for designing visualization

Step 1 – selecting a visualization type

Step 2 – selecting search data source

Step 3 – the visualization canvas

Toolbar

New Visualization

Save Visualization

Load Saved Visualization

Share Visualization

Refresh

Aggregation designer

Preview canvas

An explanation of visualization types

Area Chart

Overlap

Percentage

Wiggle

Silhouette

Data Table

Line Chart

Log

Square root

Markdown widget

Metric

Pie Chart

Tile Map

Shaded Circle Markers

Shaded GeoHash Grid

Heatmap

Desaturate map tiles

Vertical Bar Chart

Percentage

Grouped

Summary

4. Exploring the Dashboard Page

Understanding the toolbar

The New Dashboard option

Adding visualizations

Using the search bar

The Save Dashboard option

The Load Saved Dashboard option

Sharing the saved dashboard

Understanding the dashboard canvas

Moving visualizations

Resizing visualizations

Editing visualizations

Removing visualizations

Embedding a dashboard in a web page

Understanding the debug panel

Table

Request

Response

Statistics

Summary

5. Exploring the Settings Page

Indices

Configuring an index pattern

Setting the default index pattern

Reloading the index fields list

Removing an index pattern

Managing the field properties

The field type format

Advanced

Objects

Managing saved searches, visualizations, and dashboards

Viewing a saved object

Editing a saved object

Deleting a saved object

Exporting saved objects

Importing saved objects

About

Summary

6. Real-Time Twitter Data Analysis

The installation of Logstash

The installation of Logstash on Ubuntu 14.04

The installation of Logstash on Windows

The workflow for real-time Twitter data analysis

Creating a Twitter developer account

Creating a Logstash configuration file

Creating visualizations for scenarios

Number of tweets over a period of time

Number of tweets in different languages

Number of tweets from different geographical locations

Number of tweets from Android, iPhone, iPad, and Web devices

Number of tweets in various languages using different devices

Number of tweets from various countries using different devices

The most retweeted user screen name tweeting using different devices

The most tweeted user's screen name

Popular hashtags

Twitter metrics

Summary

A. References

Chapter 1, An Introduction to Kibana

Chapter 2, Exploring the Discover Page

Chapter 3, Exploring the Visualize Page

Chapter 4, Exploring the Dashboard Page

Chapter 5, Exploring the Settings Page

Chapter 6, Real-Time Twitter Data Analysis

Index