Learning Kibana 5 0 1st Edition by Bahaaldine Azarmi ISBN 1786463008 978-1786463005
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ISBN 10: 1786463008
ISBN 13: 978-1786463005
Author: Bahaaldine Azarmi
Key Features 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 Book 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. 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
Table of contents:
Chapter 1: Introduction to Data-Driven Architecture
Industry challenges
Use cases
Fundamental steps
Data shipping
Data ingest
Storing data at scale
Visualizing data
Technologies limits
Relational databases
Hadoop
NoSQL
Overview of the Elastic stack
Elasticsearch
Beats
Logstash
Kibana
X-Pack
Security
Monitoring
Alerting
Graph
Reporting
Summary
Chapter 2: Installing and Setting Up Kibana 5.0
Setting up your installation
Downloading the software
Installing Elasticsearch
Installing Kibana
Installing X-Packs
Configuring security
Kibana anatomy
Core components
Discover
Visualize
Dashboard
Timelion
Management
DevTools/Console
Plugins
DevTools/Profiler
Monitoring
Graph
Summary
Chapter 3: Business Analytics with Kibana 5.0
Business use case Paris accidentology
Data modeling – entity-centric documents
Importing data
Using Logstash
Configuring the input – file
Setting the filters
Configuring the output – Elasticsearch
Building the dashboard
Understanding the mechanics of a Kibana visualization with a line chart – the
accident timeline
Bar chart – top accident streets
Pie chart – vehicle breakdown
Area chart – victim status
Tile map – accident data over a map
Asking questions of your data
How to enhance the bicycle experience in Paris?
What are the most dangerous streets in Paris, and why?
Summary
Chapter 4: Logging Analytics with Kibana 5.0
Technical use case – Apache server logs
Importing data in Console
Importing the dashboard
Understanding the dashboard
Markdown – notes in dashboard
Metrics – logs overview
Bar chart – response code over time
Area chart – bandwidth by country
Data table – requests by agent
Data table – top requested resources
Pie chart – significant countries by response
Tile map – hits per country
Asking the data a question
Bandwidth analysis
Security analysis
Summary
Chapter 5: Metric Analytics with Metricbeat and Kibana 5.0
Technical use case – system monitoring with Metricbeat
Getting started with Metricbeat
Metricbeat installation
Configuring and running Metricbeat
Metricbeat in Kibana
Importing the dashboard
Visualizing metrics
Metricbeat in Timelion
Analyzing the max CPU utilization over time
Using X-Pack alerting
Summary
Chapter 6: Graph Exploration in Kibana
Introducing the basics of Elastic Graph
How Elastic Graph is different from other graph technologies out there
Exploring the Stack Overflow dataset with Elastic Graph
Prepare to graph!
The data structure
Simple exploration
Advanced exploration
Disabling significant links
Multi-term graph exploration
Advanced drill-downs
Summary
Chapter 7: Customizing Kibana 5.0 Timelion
Diving into Timelion code
Understanding the Kibana plugin structure
Using Timelion functions
When Google Analytics meets the lion
Setting up our development environment
Verifying our installation
Setting up our Google API account
Verifying our configuration
Walking through the implementation
google_utils.js
ganalytics.js
Plugin release management
Tagging our code base and creating a release
Chapter 8: Anomaly Detection in Kibana 5.0
Understanding the concept of anomaly detection
Understanding human limits with regard to data visualization
Understanding the limits of traditional anomaly detection
Understanding how Prelert solves anomaly detection
Using Prelert for operational analytics
Setting up Prelert
Creating a Prelert job
Combining Prelert, alerting, and Timelion
Visualizing anomaly results in Timelion
Scheduling anomaly detection reports with Reporting
Summary
Chapter 9: Creating a Custom Plugin for Kibana 5.0
Creating a plugin from scratch
Yeoman – the plugin scaffolder
Verifying our installation
A plugin to render Elasticsearch topology
Walking through topology implementation
Server code
Public code
Plugin installation
Summary
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Tags: Bahaaldine Azarmi, Learning Kibana