This is the code repository for Kibana 7 Quick Start Guide, published by Packt.
Visualize your Elasticsearch data with ease
The Elastic Stack is growing rapidly and, day by day, additional tools are being added to make it more effective. This book endeavors to explain all the important aspects of Kibana, which is essential for utilizing its full potential.
This book covers the following exciting features:
- Explore How Logstash is configured to fetch CSV data
- Understand how to create index patterns in Kibana
- Learn how to apply filters on data
- Discover how to create Machine Learning Jobs
- Explore how to analyze APM data from APM agents
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 => "/var/log/apache.log"
type => "apache-access"
start_position => "beginning"
}
}
Following is what you need for this book: Kibana 7 Quick Start Guide is for developers new to Kibana who want to learn the fundamentals of using the tool for visualization, as well as existing Elastic developers.
With the following software and hardware list you can run all code files present in the book (Chapter 1-7).
| Chapter | Software required | OS required |
|---|---|---|
| 1 to 7 | Elasticsearch | Windows, Mac OS X, and Linux (Any) |
Anurag Srivastava is a senior technical lead and has more than 12 years of experience. He is proficient in designing architecture for scalable and highly available applications. He has handled development teams and several clients from all around the globe in the last 10 years of his professional career. He is experienced with using the Elastic stack (Elasticsearch, Logstash, and Kibana) to create dashboards using system metrics data, log data, application data, and relational databases.
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