New PNP templates to view max values in the graphs
TEST I have implemented new PNP templates for NetEye to display in the graphs not only the average information but also the maximum values.
As displayed in the two examples below, the network traffic graph shows in green color the inbound (Light green) and outbound traffic (dark green), that are calculated as average values. The newly introduced feature consists of the visualization of the maximum values for the inbound and outbound traffic that are displayed in grey color.
This feature is particularly relevant in case of historical data, for instance on a monthly or weekly report is clearly possible to identify the real usage of the traffic thanks to the peaks visualization. In fact if you consider only the average values, it could seem that the bandwidth is not completely used, but in the reality with the maximum values it is possible to easily identify that (as shown in the example) the real used bandwidth is almost 1 Mega.
I have over 20 years of experience in the IT branch. After first experiences in the field of software development for public transport companies, I finally decided to join the young and growing team of Würth Phoenix. Initially, I was responsible for the internal Linux/Unix infrastructure and the management of CVS software. Afterwards, my main challenge was to establish the meanwhile well-known IT System Management Solution WÜRTHPHOENIX NetEye. As a Product Manager I started building NetEye from scratch, analyzing existing open source models, extending and finally joining them into one single powerful solution. After that, my job turned into a passion: Constant developments, customer installations and support became a matter of personal. Today I use my knowledge as a NetEye Senior Consultant as well as NetEye Solution Architect at Würth Phoenix.
Author
Juergen Vigna
I have over 20 years of experience in the IT branch. After first experiences in the field of software development for public transport companies, I finally decided to join the young and growing team of Würth Phoenix. Initially, I was responsible for the internal Linux/Unix infrastructure and the management of CVS software. Afterwards, my main challenge was to establish the meanwhile well-known IT System Management Solution WÜRTHPHOENIX NetEye. As a Product Manager I started building NetEye from scratch, analyzing existing open source models, extending and finally joining them into one single powerful solution. After that, my job turned into a passion: Constant developments, customer installations and support became a matter of personal. Today I use my knowledge as a NetEye Senior Consultant as well as NetEye Solution Architect at Würth Phoenix.
Scenario NetEye 4 provides a graphical engine to represent time series monitoring data stored in an Influx database: the Grafana engine accessible through the ITOA menu on the left hand side. Grafana is very powerful: it consists of a dashboard Read More
Alerts are critical signals that demand immediate attention to minimize disruptions and maintain smooth operations. Proactively managing alerts throughout their lifecycle is key to effective event-driven workflows, incident response, and business continuity. By leveraging alerting tools within Jira Service Management Read More
Hello everyone! As you may remember, a topic I like to discuss a lot on this blog is the Proof of Concept (POC) about how we could enhance search within our online NetEye User Guide. Well, we're happy to share Read More
In the ever-evolving landscape of IT monitoring and management, the ability to efficiently handle multi-dimensional namespaces is crucial. Within NetEye, Log-SIEM (Elastic), provides a comprehensive solution for managing the single namespace dimension with the namespace of a data_stream. This blog Read More
Hey everyone! We played around a bit last time with our radar data to build a model that we could train outside Elasticsearch, loading it through Eland and then applying it using an ingest pipeline. But since our data is Read More