It's been a long busy summer and we've taken longer than George R. R. Martin to close out our Time Series Visual Builder blog series. If you haven't had a chance to view the first two video-blogs or want a refresher, we highly recommend setting aside a few minutes to watch them both (blog1, blog2).
Today we'll be going over how to add annotations to a time series visualization from anomalies detected by a machine learning job. If you'd like to follow along, we'll be using the latest version of Kibana with X-Pack machine learning feature installed and logs from our Filebeat Nginx module. For this demo specifically, we are using the Kibana 6.0.0-RC1 build. The latest preview release can be found here.
In this video, you'll learn to do the following:
- Configure a multi metric machine learning job and view the anomaly index
- Create an index pattern for machine learning anomalies
- Customize the legend, grid, data format and area chart to your liking
- Add annotations and a custom tooltip based on an index pattern and query
Ready to dive in? Watch and follow along in the video below.