Learning Kibana 5.0
Bahaaldine Azarmi
- 284 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Learning Kibana 5.0
Bahaaldine Azarmi
About This Book
Exploit the visualization capabilities of Kibana and build powerful interactive dashboards
About This Book
- Introduction to data-driven architecture and the Elastic stack
- Build effective dashboards for data visualization and explore datasets with Elastic Graph
- A comprehensive guide to learning scalable data visualization techniques in Kibana
Who This Book Is For
If you are a developer, data visualization engineer, or data scientist who wants to get the best of data visualization at scale then this book is perfect for you. A basic understanding of Elasticsearch and Logstash is required to make the best use of this book.
What You Will Learn
- How to create visualizations in Kibana
- Ingest log data, structure an Elasticsearch cluster, and create visualization assets in Kibana
- Embed Kibana visualization on web pages
- Scaffold, develop, and deploy new Kibana & Timelion customizations
- Build a metrics dashboard in Timelion based on time series data
- Use the Graph plugin visualization feature and leverage a graph query
- Create, implement, package, and deploy a new custom plugin
- Use Prelert to solve anomaly detection challenges
In Detail
Kibana is an open source data visualization platform that allows you to interact with your data through stunning, powerful graphics. Its simple, browser-based interface enables you to quickly create and share dynamic dashboards that display changes to Elasticsearch queries in real time.
In this book, you'll learn how to use the Elastic stack on top of a data architecture to visualize data in real time. All data architectures have different requirements and expectations when it comes to visualizing the data, whether it's logging analytics, metrics, business analytics, graph analytics, or scaling them as per your business requirements. This book will help you master Elastic visualization tools and adapt them to the requirements of your project.
You will start by learning how to use the basic visualization features of Kibana 5. Then you will be shown how to implement a pure metric analytics architecture and visualize it using Timelion, a very recent and trendy feature of the Elastic stack. You will learn how to correlate data using the brand-new Graph visualization and build relationships between documents. Finally, you will be familiarized with the setup of a Kibana development environment so that you can build a custom Kibana plugin.
By the end of this book you will have all the information needed to take your Elastic stack skills to a new level of data visualization.
Style and approach
This book takes a comprehensive, step-by-step approach to working with the visualization aspects of the Elastic stack. Every concept is presented in a very easy-to-follow manner that shows you both the logic and method of implementation. Real world cases are referenced to highlight how each of the key concepts can be put to practical use.
Frequently asked questions
Information
Learning Kibana 5.0
Learning Kibana 5.0
Credits
Author Bahaaldine Azarmi | Copy Editor Safis Editing |
Reviewers Alan Hardy Bharvi Dixit | Project Coordinator Nidhi Joshi |
Commissioning Editor Amey Varangaonkar | Proofreader Safis Editing |
Acquisition Editor Prachi Bisht | Indexer Aishwarya Gangawane |
Content Development Editor Manthan Raja | Graphics Tania Dutta |
Technical Editor Dharmendra Yadav | Production Coordinator Nilesh Mohite |
About the Author
There are a few people I would like to acknowledge, as this book is not just me writing chapters but the work of many folks from Elastic regrouped into one book:
- Alan Hardy, EMEA Director of Solutions Architecture, for his mentoring, support, and for his excellent review
- Steve Mayzak, VP of Solutions Architecture, for supporting innovation in the SA team and me writing this book :-)
- Christian Dahlqvist, Solution Architect, for providing the Apache web logs demo used in Chapter 4, Logging Analytics with Kibana 5.0
- Rich Collier, Steve Dodson, and Sophie Chang, respectively Solutions Architect, Machine Learning Tech, and Team Lead, for helping me to understand the concept of anomaly detection and providing the demo used in Chapter 8, Anomaly Detection in Kibana 5.0
- Court Ewing and Spencer Alger, respectively Tech Lead and Javascript Developer, and actually, the whole Kibana team, for answering all my questions!
About the Reviewers
@d_bharvi
.