Blog Entries

19. 05. 2020 Nicola Degara Anomaly Detection, Log Management, Machine Learning, NetEye, Unified Monitoring, Webinar

Neteye SIEM: processes and tools for IT Services Security 🇮🇹

Talking about IT security is now clearly synonymous with resilience! We are continuously and inevitably under attack… every organization must implement defensive principles and practices that avoid the worst damage and the least impact on its survival and development. From the data selection, to its collection and normalization, for its representation and analysis with techniques…

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17. 10. 2019 TobiasGoller ITOA, Log-SIEM, Machine Learning, NetEye

Experiences with Netflow and Machine Learning in Elastic

Some time ago I was able to use the machine learning functionality in Elastic for the first time. I was astonished at how easy it is to use, and how fast it calculates historical data. In my particular case, I loaded Netflow data into the Elastic database. I wanted to use this data to evaluate…

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02. 08. 2017 Susanne Greiner Anomaly Detection, Machine Learning, NetEye, Real User Experience

Next Level Performance Monitoring – Part II: The Role of Machine Learning and Anomaly Detection

Machine learning and anomaly detection are being mentioned with increasing frequency in performance monitoring. But what are they and why is interest in them rising so quickly? From Statistics to Machine Learning There have been several attempts to explicitly differentiate between machine learning and statistics. It is not so easy to draw a line between…

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08. 06. 2015 Susanne Greiner Machine Learning, Real User Experience, Uncategorized

Statistics and Machine Learning Techniques for RUE

In the age of the cloud the optimization of real end-user experience (RUE) is getting essential for success. On the one hand users expect applications to work faultlessly independent of the time, location, and device one is using them from. Application performance monitoring (APM) is therefore often based on RUE performance metrics. On the other…

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