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.
Learning Kibana 7 - Second Edition
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Learning Kibana 7 - Second Edition
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Overview of this book
<p>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 how you can use Kibana 7 for rich analytics and data visualization. </p><p>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. </p><p>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.</p>
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Current Title:
Learning Kibana 7 - Second Edition
Table of Contents (16 chapters)
Preface
Understanding Your Data for Kibana
Installing and Setting Up Kibana
Section 2: Exploring the Data
Business Analytics with Kibana
Visualizing Data Using Kibana
Section 3: Tools for Playing with Your Data
Dev Tools and Timelion
Space and Graph Exploration in Kibana
Section 4: Advanced Kibana Options
Elastic Stack Features
Kibana Canvas and Plugins
Application Performance Monitoring
Machine Learning with Kibana
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