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Most such solutions were built into much larger (and typically far not free) enterprise-grade network monitoring and analysis systems which would significantly reduce reusability and customization potential. Not surprisingly, no solution could fit all the requirements out of the box. I have made some research on available existing solutions for network visualization. It is always a good idea to check whether the wheel is already invented before reinventing it by yourself. I believe this is a mandatory requirement for any reusable solution.

The documentation must be available for the chosen toolset.

Real-world networks consist of many platforms.

Support for multiple network platforms.

The task is potentially applicable to many production networks. So to be able to provide a working solution within such a limited time frame some known tools were a must.

The first day I had to spend on some side emergencies.

We have had three days to complete the task.

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Some ready-to-use open-source free tools might be used. The solution should be balanced in terms of available features and the ease of their usage and implementation. I also denoted some additional personal considerations to follow while choosing the solution toolset: It is allowed to implement filters limiting or hiding some of the information.Ī bonus task is to identify the topology changes (by comparing the current and the previous version) and visualize them in a human-friendly format.Ī summary: IP-addresses and credentials as an input, a visualized topology as an output (and a great space for experiments and options somewhere in between).

Interface names (you may use a shortened format, e.g.

Different icons for each device type (routers and switches may have the same icon).

Then you should save the result in a format suitable for further analysis by the computer (yeah, machines are not that good at reading visual diagrams). The primary task is to identify the physical topology and device interconnections based on LLDP data and visualize it in a human-friendly format (yeah, we all find visual diagrams more readable). We are not ought to limit your fantasy though. You are free to use any data gathering methods. You have access rights to execute any 'show' commands. All devices are available by their IP addresses. You have a list of management IP-addresses of all the devices. The final task description was the following: There is a network consisting of various L2/元 network devices running IOS/IOS-XE. If you found a typo, please use Ctrl+Enter or ⌘+Enter to send it to the author. An understanding of the programming and networking basics is desirable for reading. The solution is written in Python and JavaScript.

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The article does not aim to cover all the possible scenarios yet does describe the general approaches based on the specific case.Īll above and below is an author's personal subjective opinion if not stated otherwise.Īll listed code is published under MIT license and does not provide guarantees of any kind. If you are willing to help to improve the translation, please DM me. In this article, I would like to break down my own solution that finally took first place and describe the selected toolset and considerations.ĭisclaimer This is a translation of my original article in Russian I posted in May 2020. The task was definitely not trivial and not widely covered in public blog posts. On a final day, the participants were challenged to automate a topology analysis and visualization of an arbitrary network segment and, optionally, track and visualize the changes.

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It was a series of educational webinars on network automation followed by daily challenges based on the discussed topics. Hey everyone! This is a follow-up article on a local Cisco Russia DevNet Marathon online event I attended in May 2020.