Blog Entries

17. 10. 2019 TobiasGoller Log Management, NetEye, NetEye ITOA

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. 10. 2019 Michele Santuari Log Management, NetEye

How to Solve a Full Elasticsearch Disk

In a previous Blog, I described some basic steps to debug problems with the Elastic Stack. In this blog post, I want to highlight another behavior that might occur when your Elastic Stack cluster is in a green state, but it is not able to write new logs. This situation usually happens when there is…

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30. 09. 2019 Franco Federico Log Management, NetEye

Filebeat and Log UI in NetEye

In a previous blog I explored beats such as Icingabeat and presented an overview of the new features present in NetEye since version 4.6. I’d like to explore the following use case: collect some logs from Elasticsearch, Logstash, the operating system that hosts NetEye, and MySQL using beats (Filebeat), all in order to show the…

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30. 09. 2019 Michele Santuari Log Management, NetEye, NetEye Updates

NetEye 4.7 Log Manager: Elastic 6.8.2 Update

Elastic 7.3 is coming to NetEye 4.8. In order to prepare for this significant change, you must first update Log Manager on NetEye 4.7 to receive the Elastic 6.8.2 update that will set up the necessary migrations for updating Elasticsearch, Logstash and Kibana. In addition to the ELK stack, SearchGuard will also be updated to…

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09. 08. 2019 Andrea Avancini Log Management, NetEye

Automatic Load Test of Rsyslog, Logstash, and Elasticsearch

At Würth Phoenix we take testing very seriously. NetEye 4 is a sophisticated product that operates in complex and business-critical environments, so it requires lots of tests before being released. One challenging part of the testing phase is load testing, where the functionalities of a system are subject to predetermined levels of load. NetEye customers…

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24. 07. 2019 Franco Federico Log Management, NetEye

Welcoming Elastic Stack X-Pack to NetEye 4

On June 13, we announced a new OEM Partnership with Elastic, and Elastic updated its relationship with OEM, MSP and CSP partners, with the result that in NetEye 4 we now have some new features. Starting with NetEye 4.6, you can now activate the X-Pack feature. After I activate X-Pack and open NetEye, I see:…

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28. 06. 2019 Michele Santuari Log Management, NetEye

How to Debug NetEye Log Management

In a previous blog post I presented how the Log Management architecture fits in a NetEye cluster, and now I want to summarize my recent experiences to help you diagnose Elasticsearch health issues. Elasticsearch provides a set of APIs which help to identify and debug a number of potential causes. But NetEye Log Management is…

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13. 06. 2019 NetEye Blog Admin Log Management, NetEye

OEM Partnership with Elastic

Magic happens when collaboration really works and community spirit grows. This month, Würth Phoenix announced the expansion of its partnership with Elastic to make it faster and easier for users to deploy Elasticsearch within NetEye 4. Elastic is the company behind Elasticsearch, Kibana, Beats, and Logstash, an ecosystem of Open Source-based search and analytics tools….

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30. 05. 2019 Franco Federico Log Management, NetEye

Beats and NetEye 4

NetEye 4 is composed of various modules, such as the NetEye 4 Log Manager that houses Elastic Stack with Search Guard. Our vision for the future of the NetEye 4 Log Manager is shown in the following diagram: Here you can see the various modules and technologies. For instance, you can see that we have…

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21. 12. 2018 Franco Federico Log Management, NetEye

How to Monitor Icinga 2 Itself with Icingabeat

NetEye 4 is based on Icinga 2. How can we monitor it? There are several options available; here I choose Icingabeat and test it. Icingabeat is an Elastic Beat that fetches data from the Icinga 2 API and sends it directly to either Elasticsearch or Logstash. In my case, I wanted to send the information…

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