How to use anomaly detection to create smarter alerts

Posted by on Nov 11, 2016 in Network Traffic Monitoring, Real User Experience Monitoring | 0 comments

Alarms and monitoring go hand in hand. Whenever an algorithm or threshold is used to decide whether the current value of a registered KPI should rise an alarm or not the result can be a hit, a correct reject, a miss or a false alarm.

threshold

The standard way to rise alarms is studying standard traffic – which should not rise alarms – and deciding on a static threshold based on the historic standard traffic (For example see Figure 1) and experience. Everything below the threshold is than considered as standard traffic and everything above rises an alarm. This kind of threshold-based alarm creation is robust to many outliers and might be sufficient if the mean of the standard traffic does not change dynamically (in that case the threshold needs to be adapted dynamically, too). Signals might contain also anomalies that are quite useful for problem detection that look very different from classic (more or less extreme) outliers. For example a change in the distribution or similar (see Figure 2, red area on the right) can be a first sign of instability and taking an immediate counter-action can prevent the anomaly turning into a real problem.

median

For this reason the study of alternative more sophisticated alerting mechanisms is a useful addition to current common practice.

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NetEye & EriZone User Group: the impressions

Posted by on Oct 25, 2016 in EriZone & OTRS, NetEye, Real User Experience Monitoring | 0 comments

The future is NOW – The strategic impact on the IT Management in the Big Data and Cloud era.

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The eighth edition of our NetEye & EriZone User Group was held last Thursday – 20 October in Trento. The event dedicated to our customers is a proven model that provides a sharing platform to actively participate in the definition of our solutions’ new evolution phase.

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Congratulations to the winners of the NetCla Challenge

Posted by on Oct 5, 2016 in NetEye, Network Traffic Monitoring, Real User Experience Monitoring | 0 comments

More than 100 Teams were competing, more than 25 sent in a solution, the best reaching a Macro-F1 scorse higher 0.88.

Last Friday, after six long weeks, the time had finally come. During ECML-PKDD conference at Riva del Garda the best of the competing approaches have been described and discussed. The participants had the possibility to get answers directly from the organizers and last but not least Iryna Haponchyk – leader of the winning team – was awarded 1000 Euro for the solution with the highest macro-F1 score, or better for having created a model capable of producing such a score. Here you can see the beaming winner during the discovery callenge prize ceremony.winners

Iryna explained her team trained a standard multi-class linear SVM classifier, having preliminarily enriched the presented attribute set with features generated using a random forest and features encoding the notion of interdependency between the examples that go close to each other in time.

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NetEye & EriZone User Group – 20th October 2016

Posted by on Oct 3, 2016 in EriZone & OTRS, NetEye, Real User Experience Monitoring | 0 comments

UserGroup_NetEye_EriZone_2016_blog

The future is now! 

The strategic impact on the IT Management in the Big Data and Cloud era
Cantine Ferrari, Trento, Thursday October 20th, 14:00 – 18:00

Discover the recent IT System & Service management innovations at the next NetEye & EriZone UserGroup, the unique event dedicated to our customers to identify emerging challenges in the ITSM and to participate in the definition of our solutions’ new evolution phase.

You will get in touch with the reality of the future that allows outlining the strategic impact on the management of Big Data, IoT, Cloud and SmartCity.

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Why does my local network latency increase during working hours?

Posted by on Sep 22, 2016 in Capacity Management, NetEye, Network Traffic Monitoring, Real User Experience Monitoring | 0 comments

Sometimes you get a higher network latency during certain periods of the day.

Network section of a datacenter (1 Gigabit Ethernet) with normal, constant latency throughout the day

Network section of a datacenter (1 Gigabit Ethernet) with normal, constant latency throughout the day. Please consider that the typical latency for 1 Gigabit Ethernet connections is minor than 5ms.

 

Network section of a datacenter (1 Gigabit Ethernet) with increased latency during working hours

Network section of a datacenter (1 Gigabit Ethernet) with increased latency during working hours. Please consider that the typical latency for 1 Gigabit Ethernet connections is minor than 5ms.

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Automatic Network Management – A Challenging Goal

Posted by on Aug 17, 2016 in NetEye, Network Traffic Monitoring, Real User Experience Monitoring | 0 comments

2016-08-17 17_06_49-European Conference on Machine Learning and Principles and Practice of Knowledge

Würth Phoenix – Research News

Currently researchers around the world are competing to bring automatic network management to the next level. Würth-Phoenix S.r.l. has recently released a dataset and is currently organizing one of this year’s ECML-PKDD discovery challenges together with The H2020 EU 5G-Cognet project and the University of Trento.

The challenge consists in a multi-class single label classification task of network traffic, as it could be generated by a small company on an average working day. The goal is to predict which application sent which of the requests of the day, while only metrics that do not directly contain this information are available. This challenge is one of the first explorations of ML for automatic network analysis exposed to the public.

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