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:
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...