Automated Anomaly Detection with Machine Learning

The creators of Elasticsearch, Kibana, Beats, and Logstash bring you a brand new feature. The 5.4 release introduces machine learning features (in beta) for the Elastic Stack. We hope you’re excited about it — because we are!

As datasets increase in size and complexity, it becomes impractical to spot infrastructure problems, cyber attacks, or business issues using only dashboards or rules. X-Pack machine learning features automatically model the normal behavior of your time series data in real time to identify anomalies, streamline root cause analysis, and reduce false positives.

Get a full tour of machine learning featuring a demo and Q&A. 

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The creators of Elasticsearch, Kibana, Beats, and Logstash bring you a brand new feature. The 5.4 release introduces machine learning features (in beta) for the Elastic Stack. We hope you’re excited about it — because we are!

As datasets increase in size and complexity, it becomes impractical to spot infrastructure problems, cyber attacks, or business issues using only dashboards or rules. X-Pack machine learning features automatically model the normal behavior of your time series data in real time to identify anomalies, streamline root cause analysis, and reduce false positives.

Get a full tour of machine learning featuring a demo and Q&A. 

You might also enjoy these:

Dimitri Marx

Dimitri arbeitet bei Elastic als Solutions Architect. Er berät und unterstützt bei der Entwicklung von Lösungen auf der Basis des Elastic Stacks und anderer Open Source Technologien. Er spricht auf Konferenzen, schreibt Blogs und entwickelt gelegentlich Software. Seinen Kindern bringt er Programmierung bei, um mit ihnen einen Roboter zu bauen.