Introducing Machine Learning for the Elastic Stack

Today we're proud to announce the first release of machine learning features for the Elastic Stack, available via X-Pack. Joining Elastic has been like jumping on a rocket ship, but after 7 crazy months we are excited that the Prelert machine learning technology is now fully integrated into the Elastic Stack, and we are really excited about getting feedback from users. Note: Before you get too excited, keep in mind that this functionality is marked beta in version 5.4.0. Our goal is to empower users with tools to get value and insights from their Elasticsearch data, and we view machine learning as a natural extension to the search and analytics capabilities in Elasticsearch. For example, Elasticsearch allows you to search for transactions for user'steve' in real time across huge volumes of data, or use aggregations and visualisations to show the top ten selling products or trends in transactions over time. Now, with machine learning you can go deeper and ask questions like "Have any of my services changed behaviour?"