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Mastering Elastic Stack

You're reading from   Mastering Elastic Stack Dive into data analysis with a pursuit of mastering ELK Stack on real-world scenarios.

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Product type Paperback
Published in Feb 2017
Publisher Packt
ISBN-13 9781786460011
Length 526 pages
Edition 1st Edition
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Authors (2):
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Ravi Kumar Gupta Ravi Kumar Gupta
Author Profile Icon Ravi Kumar Gupta
Ravi Kumar Gupta
Yuvraj Gupta Yuvraj Gupta
Author Profile Icon Yuvraj Gupta
Yuvraj Gupta
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Toc

Table of Contents (13) Chapters Close

Preface 1. Elastic Stack Overview FREE CHAPTER 2. Stepping into Elasticsearch 3. Exploring Logstash and Its Plugins 4. Kibana Interface 5. Using Beats 6. Elastic Stack in Action 7. Customizing Elastic Stack 8. Elasticsearch APIs 9. X-Pack: Security and Monitoring 10. X-Pack: Alerting, Graph, and Reporting 11. Best Practices 12. Case Study-Meetup

Analyzing data using Kibana

When kibana is up and running, we can start visualizing meetup data. Before we can do that, we need to configure index for Kibana. Our index name in Elasticsearch is meetup as we specified in output configuration of Logstash. Let's set up our index pattern. Navigate to Kibana | Management | Index Patterns | Configure an Index Pattern or a Add New index. Add the index pattern for meetup and keep @timestamp field for time field name.

Note

We could use * as wildcard as well and keep meetup*, but we have only one index, and we know that it's meetup so no need to use wildcards. That will also help us to keep data from being mixed up in case we have other indices with the same pattern e.g. meetup-india, meetup-us etc.

Click on Create, and index pattern for our index would be set:

Analyzing data using Kibana

This would add the index pattern, and all fields present in the index meetup will be listed along with their types.

Filtering Content

As soon as our index pattern is set, discover page...

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