Blog Entries

17. 12. 2019 Juergen Vigna NetEye, Predictive Analysis, Unified Monitoring

Monitor Cluster Disk Space with Icinga2

The Problem If you’re trying to monitor a Microsoft Cluster, you’ll surely want to monitor the disk space of a single cluster service. In this case there’s a problem with Icinga2 Agent:  you can’t use it with more than one IP address.  So you can’t simultaneously monitor the resources of the “physical” host and a…

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30. 09. 2019 Stefano Bruno Anomaly Detection, ITOA, NetEye, Predictive Analysis

NetEye and Predictive Monitoring

We often hear about predictive monitoring, alongside the words machine learning and anomaly detection. Today, just as in the past, the “data” is invaluable and what we will try to do here is use simple data we can easily collect (data which individually might have no value) and apply Machine Learning techniques in order to identify anomalies, and then…

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17. 04. 2019 Tobias Goller NetEye, Predictive Analysis, Unified Monitoring

MSSQL Performance Monitoring: The Sequel

Due to the very positive customer feedback on our extended MSSQL performance monitoring article, I would like to briefly highlight this functionality. We have been implementing systems for MSSQL performance monitoring for a long time, offered either as a managed IT service, or on-premise depending on the requirements. Previously, we recorded and evaluated counters such…

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21. 11. 2018 Juergen Vigna ITOA, NetEye, Predictive Analysis, Unified Monitoring

Manage the Performance of your MSSQL Databases

So you have MSSQL databases and you’d like to keep an eye on the performance of your DB.  Using NetEye this is quite easy.  The  tools you need are already available on your NetEye server:  InfluxDB, the Telegraf agent, and Grafana for visualizing your Dashboards. The SQL Server Input Plugin provides metrics for your SQL…

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08. 05. 2018 Georg Kostner Predictive Analysis

The Future of NetEye

NetEye unveils redesigned interface with fully enhanced monitoring capabilities We are proud to announce that we are continuing to innovate with our NetEye 4 monitoring solution.  This major update provides a significant step forwards, and is the clear result of the development of our business solutions synchronizing with market demand. This new version is a…

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26. 09. 2017 Patrick Zambelli NetEye, Predictive Analysis, Unified Monitoring

Hyper-V monitoring: Here’s some tips!

Network traffic monitoring is traditionally based on SNMP queries. This protocol generates statistics on the transmission of data across one or more network interfaces. While network device queries still run through SNMP, using Microsoft Hyper-V monitoring requires the adoption of other approaches. One of the reasons is the network connection configuration itself: for example, many…

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22. 09. 2016 Luca Di Stefano NetEye, Predictive Analysis, Real User Experience, Unified Monitoring

Why does my local network latency increase during working hours?

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

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19. 10. 2011 Patrick Zambelli Predictive Analysis

Capacity View on Microsoft Exchange for German OS 2K3

The previous Blog article ( http://www.neteye-blog.it/?p=1502 ) on how to implement a capacity view on the e-mail exchange on Microsoft Exchange servers works fine for international English servers. Due to the fact that the template makes use of system counters for the data backend, the remote system calls have to be adjusted for hosts installed…

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04. 01. 2011 Patrick Zambelli Predictive Analysis, Unified Monitoring

Monitoring Nagios Performance Graphs

This post introduces a check strategy to monitor the freshness of Nagios performance graphs. When the feature is enabled Nagios is generating performance graphs, that are updated automatically with the execution of a single check. Such a check result delivers also the so called “performance data”, content interpreted by dedicated listeners behind the Nagios process….

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13. 08. 2010 Patrick Zambelli Predictive Analysis

Capacity View: Exchange 2007

For the capacity management it is of interest to monitor the development of performance values over a longer time distance within graphs. Today we will offer the community a collection of templates to monitor the load of a Microsoft Exchange 2007 server infrastructure. This template is made up of an data import file for Cacti…

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18. 03. 2010 Andrea di Lernia NetEye, Predictive Analysis, Unified Monitoring

Gli allarmi sul traffico di rete IP

Una interessante funzionalita’ di NetEye che abbiamo utilizzato per risolvere un problema concreto di un nostro cliente sono gli allarmi che vengono innescati sull’ analisi del traffico “live” di Nfsen. Il problema che avevamo era legato all’ utilizzo massiccio di un protocollo che andava a degradare le performance di alcuni servizi, grazie alle nuove funzionalita’…

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23. 12. 2009 Patrick Zambelli Predictive Analysis

Cacti: Ottimizzare la lettura SNMP con SPINE

Di recente abbiamo migrato le installazioni del capacity management di Cacti alla versione piu’ recente, la 0.8.7e. Con questa versione sono state sviluppate nuove funzionalita’ e ottimizzatori di performance, che permettono di migliorare e otimizzare il processo del poller, il scheduler di Cacti che pianifica l’esecuzione della lettura dei dati remoti. Una di queste funzioni…

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19. 11. 2009 Juergen Vigna NetEye, Predictive Analysis

Analisi trend carico server

Ola da Barcellona, in questi giorni in Würth Spagna ho sviluppato un report che visualizza le medie di carico di CPU, I/O, memoria. Questa idea è venuta ai sistemisti spagnoli. Con questo report si riesce a capire qual’ è il carico medio di una macchina e se varia nel tempo. Gli intervalli temporali visualizzabili sono:…

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23. 12. 2008 Patrick Zambelli Predictive Analysis

Advanced PING graphs

Cacti allows with its graphing engine the representation of sophisticated graphs. One of the principle values to graph is the ping response time average together with the possible packet loss. Cacti enables you to pack both information in one single graph, while still remaining well structured and clearly readable.

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