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.

As shown in the graphs below, the line indicates the ping with its reply time. The green color indicates in both graphs the rta of the majority of packages. The percentage of packages with an rta above or below this average is shown as shadow with changing intensity.

Eventual packet losses are indicated with colors as vertical lines along the graph. The percentage of lost packages is indicated in the legend below and starts from light blue going to dark blue over read for nearly complete packet loss.

Here you can download the Cacti graph template:

ping_advanced_ping_v2_2.tar

Patrick Zambelli

Patrick Zambelli

Project Manager at Würth Phoenix
After my graduation in Applied Computer Science at the Free University of Bolzano I decided to start my professional career outside the province. With a bit of good timing and good luck I went into the booming IT-Dept. of Geox in the shoe district of Montebelluna, where I realized how a big IT infrastructure has to grow and adapt to quickly changing requirements. During this experience I had also the nice possibility to travel the world, while setting up the various production and retail areas of this company. Arrived at Würth Phoenix I started developing on our monitoring solution NetEye. Today, in my position as Consulting an Project Manager I am continuously heading to implement our solutions to meet the expectation of your enterprise customers.

Author

Patrick Zambelli

After my graduation in Applied Computer Science at the Free University of Bolzano I decided to start my professional career outside the province. With a bit of good timing and good luck I went into the booming IT-Dept. of Geox in the shoe district of Montebelluna, where I realized how a big IT infrastructure has to grow and adapt to quickly changing requirements. During this experience I had also the nice possibility to travel the world, while setting up the various production and retail areas of this company. Arrived at Würth Phoenix I started developing on our monitoring solution NetEye. Today, in my position as Consulting an Project Manager I am continuously heading to implement our solutions to meet the expectation of your enterprise customers.

5 Replies to “Advanced PING graphs”

  1. Bob Stein says:

    Those graphs are fantastic. Sorry for the dumb question: how can I get such graphs for pings from my Windows desktop? I’m not clear on what NetEye is or where it runs.

    1. Patrick says:

      Hello Bob,
      these graphs are created via graph templates in Cacti. This tool had been integrated in NetEye time ago. I have uploaded for you the Cacti Graph template into the Article. Today we make use of new open source technology and graphs are created in Dashboards of Grafana and I would like to redirect you to one of our recent articles where these tools are in action: http://www.neteye-blog.com/2017/06/next-level-performance-monitoring-part-i/
      or http://www.neteye-blog.com/2017/05/monitoring-microsoft-exchange-server/
      Feel free to contact me if you are interested on more details.

  2. Leo says:

    Hi Patrick
    All discussions I can find on Cacti’s forum is lacking a single tried & tested recipe on how to get the advanced ping imported and running (on cacti v.1.2.2)

    solar I’ve managed to import the XML file, during which process I’m seeing all new elements having been added.
    Then I want to create a graph for a host by choosing the appropriate graph template. The newly imported template is not amongst the selection.

    Could you spend a word or two on what should be the normal approach?

    Thanks,
    Leo

    1. Patrick Zambelli says:

      Hi Leo,

      I have to say that we stopped using cacti a couple of years ago … Cacti was a great tool for collecting and visualizing performance data – but as you see, my blog is from 2008. … yeah, time is running fast. Therefore I could like to say that today I am working with Grafana and Influxdb as underlaying database layer. This combination is a very effective way for collecting data and the visualization and correlation possibilities are much more sophisticated. Maybe it would be interesting to share some ideas for a migration to Grafana or some backgrounds of your usecase to understand why cacti might still be the better option ?

  3. Matthew Main says:

    We you import the template into Cacti you need to make sure the “Preview Import Only” is turned off, this is on by default.
    Cacti will then import the template, you will now be able to select it when creating a graph.

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