“A dashboard should tell a story or answer a question” “Dashboards should reduce cognitive load, not add to it“ Following the two best practices mentioned above I would like to consider the following use case: I am a NetEye customer with a single node implementation and I would like a dashboard that helps me to…
Read MoreI’ve been working with Grafana since 2017, when I started as a Frontend Developer here at Wuerth Phoenix.I typically take care of the customization of the Grafana User Interface, with the goal of reflecting the NetEye look and feel inside Grafana, aka the ITOA module. I’ve already written about a simple way to customize the…
Read MoreTo be able to make Elasticsearch Snapshots you need shared storage mounted on all Elasticsearch Data Nodes. There are various possible file systems you can use for this: GFS, NFS, CIFS and GlusterFS. What is GlusterFS GlusterFS is a scalable network file system suitable for data-intensive tasks such as cloud storage and media streaming. GlusterFS…
Read MoreTalking 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…
Read MoreInfluxDB is the database used in NetEye for saving performance data. It guarantees graphic visibility of the data (thanks to the Grafana frontend) and it is very important that the data stored is useful. I’ll give you an example of how simple it can be to produce obsolete data in Influx: Suppose I create a…
Read MoreThis year’s NetEye User Group in its German edition will take place on May 7th at the Deutsche Bahn Museum in Nuremburg, Germany. Our clients are already reserving their places, and together we will shape the future of NetEye. The main topics will be our current SIEM approach to enhanced data security in the face of…
Read MoreWithin Internet provider companies, very often we are asked to calculate the amount of Internet bandwidth in order to bill any excess use of bandwidth to each customer. We decided to make this calculation completely customizable using NetEye together with the built-in tools Icinga2, InfluxDB and Grafana. Phase 1 Using an SNMP check, we measure…
Read MoreThe 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…
Read MoreA manual user configuration migration is required before upgrading to 4.10. Starting in version 4.9, NetEye supports Grafana user management, which is completely integrated into NetEye via its existing roles mechanism. NetEye administrators can create new roles that map to Grafana roles (admin, editor or viewer) at the level of organizations and teams. NetEye users must then be…
Read MoreDuring the course of a NetEye installation, a wide range of performance data is collected. From latency metrics of ping checks, to the saturation data of disks and memory units, to the collection of utilization metrics of various kinds. For all of this data we’ve adopted the open source time series database InfluxDB. The time-aligned…
Read MoreSome 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…
Read MoreDo you have a NetEye server, and want to monitor your VMware ESXi Infrastructure? Nothing easier than that using the InfluxDB and Grafana Modules of NetEye, along with a Telegraf agent to deliver the data into Influx. Starting with version 1.6.x of Telegraf, there’s a plugin for querying for data from a vSphere server, but…
Read MoreWe 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…
Read MoreHave you ever thought that the New York Times on an average Sunday contains more information than a Renaissance-era person had access to in his entire lifetime? (Richard Saul Wurman – Information Anxiety) This is what we mean by information overload, and it is especially true when dealing with IT. Performing sophisticated data analysis no…
Read MoreTo ensure quality in your environment you need to constantly improve. Continuous improvement is measuring key quality and other process indices in all areas, and taking actions to improve them. These indices could include process outputs, customer satisfaction scores, design errors, warranty returns, or any of a number of other measures used to characterize a…
Read More