Chapter 8. Anomaly Detection in Kibana 5.0
In September 2016, Elastic announced the acquisition of Prelert, now called Machine Learning, a behavioral analytics company. Prelert combines an anomaly detection engine, Elasticsearch for storing the analysis, and Kibana for visualizing the analysis.
The anomaly detection engine brings unsupervised machine learning capabilities to the Elastic Stack so that Prelert is able to learn from the data as it ingests them, and can highlight events that deviate from expectations.
In this chapter we'll explore the following:
Applying the use case of Prelert to find a solution in anomaly detection
Using Prelert and Kibana for operational analytics
Leveraging Timelion, X-Pack alerting, and reporting features to visualize and be apprised of anomalies
Tip
As a disclaimer, the version of Prelert used in this chapter is an exclusive preview of what Prelert will look like in the upcoming GA version. It's not a public version. At the time of writing this chapter, the current...
