Anurag Srivastava - Learning Kibana 7: Build powerful Elastic dashboards with Kibanas data visualization capabilities, 2nd Edition

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First published: February 2017
Second edition: July 2019

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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 booksMastering 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.

Giacomo Veneri graduated in computer science from the University of Siena. He holds a PhD in neuroscience, along with having various scientific publications to his name. He is Predix IoT-certified and an influencer, as well as being certified in SCRUM and Oracle Java. He has 20 years' experience as an IT architect and team leader. He has been an expert on IoT in the fields of oil and gas and transportation since 2013. He lives in Tuscany, where he loves cycling. He is also the author of Hands-On Industrial Internet of Things and Maven Build Customization, both published by Packt.

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This book is here to help you understand the core concepts and the practical implementation of Kibana in different use cases. It covers how to ingest data from different sources into Elasticsearch using Beats or Logstash. It then shows how to explore, analyze, and visualize the data in Kibana. This book covers how to play with time series data to create complex graphs using Timelion and show them along with other visualizations on your dashboard, then how to embed your dashboard or visualization on a web page. You will also learn how to use APM to monitor your application by installing and configuring the APM server and APM agents. We will explore how Canvas can be used to create awesome visualizations. We will also cover different X-Pack features such as user and role management in security, alerting, monitoring, and machine learning. This book will also explain how to create machine learning jobs to find anomalies in your data.

Aspiring Elastic developers, data analysts, and those interested in learning about the new features of Kibana 7 will find this book very useful. No prior knowledge of Kibana is expected. Previous experience with Elasticsearch will help, but is not mandatory.

, Understanding Your Data for Kibana