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Prelert Automated Anomaly Detection

What is anomaly detection? What sorts of data sets is Prelert trying to do anomaly detection on? What approaches are taken? Prelert's Director of Research and Development discusses anomaly detection from a more technical perspective, points out some of the data characteristics which make anomaly detection for real world problems challenging and describes some of the techniques they use for anomaly detection.

Predict Your Next Performance Problem

Prelert's machine learning predictive analytics operates on raw performance data generated by your existing infrastructure and application management tools. It processes millions of metrics and log notifications in real-time to find anomalous activities that are the early warning signs of an impending problem.

Troubleshoot Performance Issues in Minutes

Prelert uses the latest machine learning software technology to baseline the normal behavior patterns of critical applications or services across all monitored layers. When there is a problem, Prelert shows you what happened in a rich narrative of cross-correlated metric behaviors and notifications. You know where to go to resolve the issue in minutes.

Install Prelert Today & Get Answers Tomorrow

Prelert provides value in hours. No rules, no thresholds, no dashboards to create and maintain. Prelert is 100% self-learning. You spend less time coaxing answers from your management tools and more time building new capabilities.

DNA Connect are Master Distributor for Prelert in Australia and New Zealand.

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