Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Mastering Kibana 6.x

You're reading from   Mastering Kibana 6.x Visualize your Elastic Stack data with histograms, maps, charts, and graphs

Arrow left icon
Product type Paperback
Published in Jul 2018
Publisher Packt
ISBN-13 9781788831031
Length 376 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Anurag Srivastava Anurag Srivastava
Author Profile Icon Anurag Srivastava
Anurag Srivastava
Arrow right icon
View More author details
Toc

Table of Contents (16) Chapters Close

Preface 1. Revising the ELK Stack FREE CHAPTER 2. Setting Up and Customizing the Kibana Dashboard 3. Exploring Your Data 4. Visualizing the Data 5. Dashboarding to Showcase Key Performance Indicators 6. Handling Time Series Data with Timelion 7. Interact with Your Data Using Dev Tools 8. Tweaking Your Configuration with Kibana Management 9. Understanding X-Pack Features 10. Machine Learning with Kibana 11. Create Super Cool Dashboard from a Web Application 12. Different Use Cases of Kibana 13. Creating Monitoring Dashboards Using Beats 14. Best Practices 15. Other Books You May Enjoy

Console


Kibana Dev Tools is a development tool that can be used to interact with the Elasticsearch index. In Dev Tools, we have a screen with a console plugin. Console plugin has UI through which we can interact with Elasticsearch using REST API. Console UI has the following two blocks:

  • Editor: We can request the Elasticsearch cluster through statements or queries using the REST API
  • Response pane: This shows the response of the Elasticsearch request:

 

In the previous screen, we can see the left and right block. The left block is a request editor where we can write the Elasticsearch queries, and the right block is a response pane on which we can get the response from Elasticsearch.

The request editor provides the feature of syntax completion, as seen in the following screen:

 

As shown in the preceding screenshot, when we started typing _sea, the suggestion box opened with different options. From these options, we can pick the value we want to use for the Elasticsearch query. Auto-suggest is a...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image