Before you can analyze the data in your Elasticsearch indices, we first need to tell Kibana what data to look at, how to categorize it, and even how to format the data in order for it to be as readable as possible. In this hands-on lab, you will get to define index patterns for various indices, and customize field formatting for readability.
Learning Objectives
Successfully complete this lab by achieving the following learning objectives:
- Define the `ecommerce` Index Pattern
- Navigate to Management > Index Patterns to create a new pattern.
- Create the ecommerce index pattern using order_date as the time filter field.
- Define the `flights` Index Pattern
- Navigate to Management > Index Patterns to create a new pattern.
- Create the flights index pattern using timestamp as the time filter field.
- Edit the AvgTicketPrice field to display as a comma separated number with 2 decimal places and a leading dollar sign.
- Define the `logs` Index Pattern
- Navigate to Management > Index Patterns to create a new pattern.
- Create the logs index pattern using @timestamp as the time filter field.
- Edit the bytes and machine.ram fields to display with the appropriate formatting.
- Set the index pattern as the default.
- Define the `filebeat` Index Pattern
- Navigate to Management > Index Patterns to create a new pattern.
- Create the filebeat index pattern using @timestamp as the time filter field.
- Define the `metricbeat` Index Pattern
- Navigate to Management > Index Patterns to create a new pattern.
- Create the metricbeat index pattern using @timestamp as the time filter field.
