Your hands-on guide to visualizing the Elasticsearch data as well as navigating the Elastic stack
Work with different Kibana plugins and create effective machine learning jobs using Kibana
Build effective dashboards and reports without any hassle

Book Description

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 core concepts of Kibana, with chapters set out in a coherent manner so that readers can advance their learning in a step-by-step manner. The focus is on a practical approach, thereby enabling the reader to apply those examples in real time for a better understanding of the concepts and to provide them with the correct skills in relation to the tool. With its succinct explanations, it is quite easy for a reader to use this book as a reference guide for learning basic to advanced implementations of Kibana. The practical examples, such as the creation of Kibana dashboards from CSV data, application RDBMS data, system metrics data, log file data, APM agents, and search results, can provide readers with a number of different drop-off points from where they can fetch any type of data into Kibana for the purpose of analysis or dashboarding.

What you will learn

Explore how Logstash is configured to fetch CSV data
Understand how to create index patterns in Kibana
Become familiar with how to apply filters on data
Discover how to create ML jobs
Explore how to analyze APM data from APM agents
Get to grips with how to save, share, inspect, and edit visualizations
Understand how to find an anomaly in data

Who this book is for

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.

Introducing Kibana
Getting Data into Kibana
Exploring Data
Visualizing Data
X-Pack with Machine Learning
Monitoring Applications with APM
Kibana Advanced Tools

�ber die Autorin bzw. den Autor

Anurag Srivastava is a senior technical lead since 11 years in a multinational software company in web-based application development. He has led and handled teams and clients since 7 years of his professional career. Proficient in designing and deployment of scalable applications, he has multiple certifications in ML and data science using Python. He is well experienced with the Elastic stack (Elasticsearch, Logstash, and Kibana) for creating dashboards using system metrics data, log data, application data, or relational databases.

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