Chapter 2: Enabling and Operationalization
We have just learned the basics of what Elastic ML is doing to accomplish both unsupervised automated anomaly detection and supervised data frame analysis. Now it is time to get detailed about how Elastic ML works inside the Elastic Stack (Elasticsearch and Kibana).
This chapter will focus on both the installation (really, the enablement) of Elastic ML features and a detailed discussion of the logistics of the operation, especially with respect to anomaly detection. Specifically, we will cover the following topics:
- Enabling Elastic ML features
- Understanding operationalization
Technical requirements
The information in this chapter will use the Elastic Stack as it exists in v7.10 and the workflow of ...
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