Viewing the Elastic ML results index

As we go through much of the discussion of how users should interpret the results from Elastic ML's anomaly detection jobs, it will be helpful to relate what is conveyed with how that information is stored within Elastic ML's internal results index. To get a quick initial peek into that index, you can either query the index pattern directly using the _search API in Elasticsearch, or perhaps more intuitively, add the index pattern to Kibana and view the index with native Kibana tools. In order to do this, we must first use the following procedure to expose Elastic ML's internal results index to Kibana:

1. In Kibana, click on the side menu and then select Stack Management from the list:

   Figure 5.1 – Selecting Stack Management

2. Select Index Patterns:

   Figure 5.2 – Selecting Index Patterns

3. Select Create index pattern:

   Figure 5.3 – Selecting the Create index pattern button

4. Enter .ml-anomalies-* for the...