Once the visualization is created, we can embed it on any web page using the share option of the visualization. To share a visualization, we need to click on the share button on the top-right corner of the page. This opens the share this visualization popup with two options: Embed code and Permalinks. The Embed code option is present, using which we can copy the iframe code to integrate it into any web page. There are two different options under embed code: the first is Snapshot, using which we can save the current state of the visualization, and no change on current visualization after we create the snapshot. Another option is Saved Object, which shows the most recent saved version of the visualization, and if we do an update in the visualization it will be reflected in the shared version. We have a short URL option, using which we can create a short URL...

Kibana 7 Quick Start Guide
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Kibana 7 Quick Start Guide
By:
Overview of this book
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.
Table of Contents (9 chapters)
Preface
Introducing Kibana
Getting Data into Kibana
Visualizing Data
X-Pack with Machine Learning
Monitoring Applications with APM
Kibana Advanced Tools
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