Learning Kibana 7
Build powerful Elastic dashboards with Kibana's data visualization capabilities
2nd Edition
Published on 19. July 2019
Book
Paperback/Softback
280 pages
978-1-83855-036-3 (ISBN)
Description
A beginner's guide to analyzing and visualizing Elasticsearch data using Kibana 7 and Timelion
Key Features
Gain a fundamental understanding of how Kibana operates within the Elastic Stack
Explore your data with Elastic Graph and create rich dashboards in Kibana
Learn scalable data visualization techniques in Kibana 7
Book DescriptionKibana is a window into the Elastic Stack that enables the visual exploration and real-time analysis of your data in Elasticsearch. This book will help you understand how you can use Kibana 7 for rich analytics and data visualization.
If you're new to the tool or want to get to grips with the latest features introduced in Kibana 7, this book is the perfect beginner's guide. You'll learn how to set up and configure the Elastic Stack and understand where Kibana sits within the architecture. As you advance, you'll learn how to ingest data from different sources using Beats or Logstash into Elasticsearch, followed by exploring and visualizing data in Kibana. Whether working with time-series data to create complex graphs using Timelion or embedding visualizations created in Kibana into your web applications, this book covers it all. It also covers topics that every Elastic developer needs to be aware of, such as installing and configuring application performance monitoring (APM) servers and agents. Finally, you'll also learn how to create effective machine learning jobs in Kibana to find anomalies in your data.
By the end of this book, you'll have a solid understanding of Kibana, and be able to create your own visual analytics solutions from scratch.What you will learn
Explore the data-driven architecture of the Elastic Stack
Install and set up Kibana 7 and other Elastic Stack components
Use Beats and Logstash to get input from different data sources
Create different visualizations using Kibana
Build enterprise-grade Elastic dashboards from scratch
Use Timelion to play with time-series data
Install and configure APM servers and APM agents
Work with Dev Tools, Spaces, Graph, and other important tools
Who this book is forIf you're an aspiring Elastic developer or data analyst, this book is for you. You'll also find it useful if you want to get up to speed with the new features of Kibana 7 and perform data visualizations on enterprise data. No prior knowledge of Kibana is expected, but some experience with Elasticsearch will be helpful.
Key Features
Gain a fundamental understanding of how Kibana operates within the Elastic Stack
Explore your data with Elastic Graph and create rich dashboards in Kibana
Learn scalable data visualization techniques in Kibana 7
Book DescriptionKibana is a window into the Elastic Stack that enables the visual exploration and real-time analysis of your data in Elasticsearch. This book will help you understand how you can use Kibana 7 for rich analytics and data visualization.
If you're new to the tool or want to get to grips with the latest features introduced in Kibana 7, this book is the perfect beginner's guide. You'll learn how to set up and configure the Elastic Stack and understand where Kibana sits within the architecture. As you advance, you'll learn how to ingest data from different sources using Beats or Logstash into Elasticsearch, followed by exploring and visualizing data in Kibana. Whether working with time-series data to create complex graphs using Timelion or embedding visualizations created in Kibana into your web applications, this book covers it all. It also covers topics that every Elastic developer needs to be aware of, such as installing and configuring application performance monitoring (APM) servers and agents. Finally, you'll also learn how to create effective machine learning jobs in Kibana to find anomalies in your data.
By the end of this book, you'll have a solid understanding of Kibana, and be able to create your own visual analytics solutions from scratch.What you will learn
Explore the data-driven architecture of the Elastic Stack
Install and set up Kibana 7 and other Elastic Stack components
Use Beats and Logstash to get input from different data sources
Create different visualizations using Kibana
Build enterprise-grade Elastic dashboards from scratch
Use Timelion to play with time-series data
Install and configure APM servers and APM agents
Work with Dev Tools, Spaces, Graph, and other important tools
Who this book is forIf you're an aspiring Elastic developer or data analyst, this book is for you. You'll also find it useful if you want to get up to speed with the new features of Kibana 7 and perform data visualizations on enterprise data. No prior knowledge of Kibana is expected, but some experience with Elasticsearch will be helpful.
More details
Edition
2nd Revised edition
Language
English
Place of publication
Birmingham
United Kingdom
Target group
Professional and scholarly
Edition type
Revised edition
Dimensions
Height: 235 mm
Width: 191 mm
ISBN-13
978-1-83855-036-3 (9781838550363)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Anurag Srivastava is a senior technical lead in a multinational software company. He has more than 12 years' experience in web-based application development. He is proficient in designing architecture for scalable and highly available applications. He has handled development teams and multiple clients from all over the globe over the past 10 years of his professional career. He has significant experience with the Elastic Stack (Elasticsearch, Logstash, and Kibana) for creating dashboards using system metrics data, log data, application data, and relational databases. He has authored three other booksMastering Kibana 6.x, and Kibana 7 Quick Start Guide, and Learning Kibana 7 - Second Edition, all published by Packt. 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.
Content
Table of Contents
Understanding Your Data for Kibana
Installing and Setting Up Kibana
Business Analytics with Kibana
Visualizing Data Using Kibana
Dev Tools and Timelion
Space and Graph Exploration in Kibana
Elastic Stack Features
Kibana Canvas and Plugins
Application Performance Monitoring
Machine Learning with Kibana
Understanding Your Data for Kibana
Installing and Setting Up Kibana
Business Analytics with Kibana
Visualizing Data Using Kibana
Dev Tools and Timelion
Space and Graph Exploration in Kibana
Elastic Stack Features
Kibana Canvas and Plugins
Application Performance Monitoring
Machine Learning with Kibana