This is the code repository for Learning Kibana 7 - Second Edition, published by Packt.
Build powerful Elastic dashboards with Kibana's data visualization capabilities
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.
This book covers the following exciting features:
- 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
If you feel this book is for you, get your copy today!
All of the code is organized into folders. For example, Chapter02.
The code will look like the following:
input {
file {
path => "/home/user/Downloads/Popular_Baby_Names.csv"
start_position => beginning
}
}
Following is what you need for this book: If 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.
With the following software and hardware list you can run all code files present in the book (Chapter 2-10).
| Chapter | Software required | OS required |
|---|---|---|
| 1 - 10 | Elasticsearch 7.1.0, Kibana 7.1.0, Java 8, Logstash, Filebeat, Metricbeat, Packetbeat, Heartbeat, Winlogbeat | Linix/Windows/macOS |
We also provide a PDF file that has color images of the screenshots/diagrams used in this book. Click here to download it.
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 dev 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, or relational databases. He has authored other two books—Mastering Kibana 6.x, and Kibana 7 Quick Start Guide, both 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.
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