Machine learning for the Elastic Stack empowers you with simple tools to understand the behavior of your Elasticsearch data. What started with simple single- and multi-metrics anomaly detection jobs has grown into a powerful tool that automates notifications for anomalies and simplifies tasks like pre-configuring NGINX log analysis at scale. And there's more to show, including new features such as time series forecasting, which will allow you to predict system capacity and pre-empt issues, and automatic log data categorization.
Learn how to apply machine learning to your Elasticsearch data and see new features in action firsthand.
Machine Learning Team Lead
Machine Learning Tech Lead and Distinguished Engineer