Mastering Kibana 6.x : visualize your Elastic Stack data with histograms, maps, charts, and graphs / Anurag Srivastava.

Format:

Book

Author/Creator:

Srivastava, Anurag, author.

Language:

English

Subjects (All):

Information visualization.

Data mining.

Physical Description:

1 online resource (365 pages)

Edition:

1st edition

Other Title:

Mastering Kibana six point x

Place of Publication:

Birmingham, England : Packt, 2018.

System Details:

text file

Summary:

Get to grips with Kibana and its advanced functions to create interactive visualizations and dashboards Key Features Explore visualizations and perform histograms, stats, and map analytics Unleash X-Pack and Timelion, and learn alerting, monitoring, and reporting features Manage dashboards with Beats and create machine learning jobs for faster analytics Book Description Kibana is one of the popular tools among data enthusiasts for slicing and dicing large datasets and uncovering Business Intelligence (BI) with the help of its rich and powerful visualizations. To begin with, Mastering Kibana 6.x quickly introduces you to the features of Kibana 6.x, before teaching you how to create smart dashboards in no time. You will explore metric analytics and graph exploration, followed by understanding how to quickly customize Kibana dashboards. In addition to this, you will learn advanced analytics such as maps, hits, and list analytics. All this will help you enhance your skills in running and comparing multiple queries and filters, influencing your data visualization skills at scale. With Kibana's Timelion feature, you can analyze time series data with histograms and stats analytics. By the end of this book, you will have created a speedy machine learning job using X-Pack capabilities. What you will learn Create unique dashboards with various intuitive data visualizations Visualize Timelion expressions with added histograms and stats analytics Integrate X-Pack with your Elastic Stack in simple steps Extract data from Elasticsearch for advanced analysis and anomaly detection using dashboards Build dashboards from web applications for application logs Create monitoring and alerting dashboards using Beats Who this book is for Mastering Kibana 6.x is for you if you are a big data engineer, DevOps engineer, or data scientist aspiring to go beyond data visualization at scale and gain maximum insights from their large datasets. Basic knowledge of Elasticstack will be an added advantage, although not mandatory.

Contents:

Cover

Title Page

Copyright and Credits

Packt Upsell

Contributors

Table of Contents

Preface

Chapter 1: Revising the ELK Stack

What is ELK Stack?

Elasticsearch

Logstash

Kibana

Beats

Installing the ELK Stack

Installing Elasticsearch using a TAR file

Installing Elasticsearch with Homebrew

Installing Elasticsearch with MSI Windows Installer

Installing Elasticsearch with the Debian package

Installing Elasticsearch with the RPM package

Using apt package repositories

Using yum package repositories

Installing Kibana using .tar.gz

Installing Kibana using the Debian package

Installing Kibana using rpm

Installing Kibana on Windows

Packetbeat

Metricbeat

Filebeat

Winlogbeat

Heartbeat

ELK use cases

Log management

Security monitoring and alerting

Web scraping

E-commerce search solutions

Full text search

Visualizing data

Summary

Chapter 2: Setting Up and Customizing the Kibana Dashboard

Setting up the stage

Configuring Logstash to fetch data from the Apache log file

Outputting the log data into Elasticsearch

Configuring Kibana to read the Elasticsearch index

Creating demo visualizations with Apache log data

Creating the dashboard

Customizing the dashboard

Editing the visualization

Changing the title by customizing the panel

Moving the visualization to full screen

Deleting the visualization from the dashboard

Changing the colors of the visualization

Dragging and dropping visualizations on a desired location on the dashboard

Resizing the visualization as per our requirements

Exporting CSV data from the visualization

Getting the Elasticsearch request, response, and statistics

Chapter 3: Exploring Your Data

Kibana Discover.

Discovering data using Kibana Discover

Configuring Packetbeat to push packet data into Elasticsearch

Configuring Kibana to read the Elasticsearch index with packet logs

Exploring Kibana Discover to access packet data

Showing the required fields

Applying the time filter

Elasticsearch query DSL

Filter

Saving and opening searches

Saving the result

Opening the result

Sharing results

Field data statistics

Chapter 4: Visualizing the Data

Creating visualizations

Basic charts

Data

Maps

Time series

Other

Pie charts

Metric aggregation

Bucket aggregation

Creating a pie chart

Adding another dimension to the pie chart

Bar charts

Creating a bar chart

Area charts

Creating an area chart

Data metrics

Creating a data metric

Data tables

Creating the data table

Tag clouds

Creating a tag cloud

Markdown

Creating a markdown visualization

Sharing visualizations

Chapter 5: Dashboarding to Showcase Key Performance Indicators

Arranging visualizations

Moving visualizations

Resizing visualizations

Removing visualizations

Showing in full screen

Showing visualization data

Modifying the visualization

Saving the dashboard

Sharing the dashboard

Sharing the saved dashboard

Sharing the snapshot

Cloning the dashboard

Exploring the dashboard

The search query

Adding filters

Clicking on visualizations

Chapter 6: Handling Time Series Data with Timelion

Timelion interface

Timeline expression

.es function parameters

Chainable methods

.sum()

.avg()

.min()

.max()

.log()

.abs()

.divide()

.multiply()

.derivative()

.bars()

.color()

.label()

.legend().

.movingaverage()

.trend()

.range()

.precision()

Data source functions

Static/value

World bank

Setting the offset for data sources

Saving Timelion graph

Timelion sheet option

Deleting Timelion sheet

Timelion help

Function reference

Keyboard tips

Timelion auto-refresh

Chapter 7: Interact with Your Data Using Dev Tools

Console

Copy as cURL

Auto indent

Multiple requests in console

Profiling queries

Query profile

Aggregation profile

Grok debugger

Chapter 8: Tweaking Your Configuration with Kibana Management

Index pattern

Creating the index pattern

Setting the default index pattern

Refreshing index pattern fields

Deleting an index pattern

Managing fields

String

Dates

Geographic point field

Numbers

Saved objects

Dashboards

Searches

Visualizations

Advanced settings

xPack:defaultAdminEmail

search:queryLanguage

search:queryLanguage:switcher:enable

dateFormat

dateFormat:tz

dateFormat:dow

defaultIndex

Reporting

Security

Roles

Users

Watcher

Creating the watch

Threshold alert

Advanced watch

Deleting the watch

Chapter 9: Understanding X-Pack Features

Installing X-Pack

Installing X-Pack into Elasticsearch

Installing X-Pack into Kibana

Features of X-Pack

Monitoring

Elasticsearch monitoring

Kibana monitoring

Security settings

Machine learning

Other options of X-Pack

Application Performance Monitoring

Logging

Apache logs

MySQL logs

Nginx logs

System logs

Metrics

Apache metrics

Docker metrics

Kubernetes metrics

MySQL metrics

Nginx metrics

Redis metrics

System metrics

Chapter 10: Machine Learning with Kibana

Machine learning jobs

Single metric Jobs.

Multi-metric jobs

Population Jobs

Advanced Jobs

Create a machine learning job

Data visualizer

Single metric Job

Managing jobs

Job settings

Job config

Datafeed

Counts

JSON

Job messages

Datafeed preview

Anomaly explorer

Single metric viewer

Multi metric job

Explore multi metric job result

Population job

Chapter 11: Create Super Cool Dashboard from a Web Application

JDBC input plugin

Scheduling

Maintaining the last SQL value

Fetch size

Configuring Logstash for database input

Creating a dashboard using MySQL data

Total blog and top blog count

Blogger-wise blog counts

Tag cloud for blog categories

Blogger name-category-views-blog pie chart

Tabular view of blog details

Create dashboard

Chapter 12: Different Use Cases of Kibana

Time-series data handling

Conditional formatting

Tracking trends

A visual builder for handling time series data

GeoIP for Elastic Stack

Ingest node

GeoIP with Packetbeat data

Chapter 13: Creating Monitoring Dashboards Using Beats

Configuring the Beats

Configuring Filebeat

Configuring Metricbeat

Enabling the modules using the metricbeat.yml file

Enabling the modules from the modules.d directory

Configuring Packetbeat

Creating visualizations using Beat data

Visualization using Filebeat

Visualization using Metricbeat

Visualization using Packetbeat

Importing Beat dashboards

Importing dashboards in Filebeat

Importing dashboards in Metricbeat

Importing dashboards in Packetbeat

Chapter 14: Best Practices

Requirement of test environment

Picking the right time filter field

Avoiding large document indexing

Avoiding sparsity.

Avoiding unrelated data in the same index

Normalizing the document

Avoiding types in Indices

Avoiding wildcard searches

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Index.

Notes:

Includes index.

Description based on print version record.

ISBN:

9781788834032

1788834038

OCLC:

1048773589