Ever since Version 3.8, Grafana and InfluxDB have been integrated into NetEye. This step was undertaken for many reasons. First of all, we wanted to give several metrics a nicer look; second, we wanted to make it possible for our customers to play around with their data, so they could start from predefined templates without needing a strong background in time series visualization, databases and performance monitoring; and third, because we tried them ourselves and found them to be really helpful.
So far we have received quite positive feedback from our customers, and are currently updating our templates with every release of NetEye. NetEye ITOA (an optional NetEye module, sold separately, and also available as Software as a Service) raises this combination to an even higher level by adding post-processing, anomaly detection, and machine learning routines to raw performance counter data visualization, while providing a wide range of multi-level dashboards for scope-oriented navigation.
Having worked a lot with Grafana and InfluxDB by adding our knowledge to them, it was a pleasure to share our knowledge at this year’s Grafana Conference in Amsterdam. We gained insights into the new features of Grafana 5.0, networked with other users by discussing problems, approaches, and solutions, and came back to Würth Phoenix Headquarters full of new ideas for future NetEye releases.
For all those who could not participate, videos have now been uploaded at this link:
Hi there! My name is Susanne and I joined Würth-Phoenix early in 2015. Ever since I can remember computers and the perfection that can be reached by them have been very fascinating for me. I built my first personal PC using components from about 20 broken ones at the age of 11 and fell in love with open source, visualization and data analysis shortly afterwards. I hold a master in experimental physics (University of Erlangen, Germany) and a PhD in computer science (Universtiy of Trento, Italy) my main interests are machine learning, visualization techniques, statistics and optimization. As long as an algorithm of mine runs at night and I get new interesting results the morning after I am able to sleep well. Beside computers I also like music, inline skating, and skiing.
Author
Susanne Greiner
Hi there! My name is Susanne and I joined Würth-Phoenix early in 2015. Ever since I can remember computers and the perfection that can be reached by them have been very fascinating for me. I built my first personal PC using components from about 20 broken ones at the age of 11 and fell in love with open source, visualization and data analysis shortly afterwards. I hold a master in experimental physics (University of Erlangen, Germany) and a PhD in computer science (Universtiy of Trento, Italy) my main interests are machine learning, visualization techniques, statistics and optimization. As long as an algorithm of mine runs at night and I get new interesting results the morning after I am able to sleep well. Beside computers I also like music, inline skating, and skiing.
