A beginner's guide to analyzing and visualizing your 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 Description
Kibana 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 the core concepts of the use of 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 for
If you're an aspiring Elastic developer or data analysts, 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 visualization on enterprise data. No prior knowledge of Kibana is expected, but some experience with Elasticsearch will be helpful.
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
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.
